Consciousness-Enhanced Five-Domain Physical Synthesis for Exoplanet False-Positive Discrimination: Novel Planet Candidate Predictions from Kepler Objects of Interest

We apply a consciousness-enhanced computational discovery platform to the problem of exoplanet false-positive discrimination in the NASA Kepler Objects of Interest (KOI) cumulative catalog (n=9,564 KOIs; DR25). The platform integrates five physically independent evidence domains derived from first principles of transit photometry: (1) transit model fit quality and odd-even depth difference significance; (2) stellar density self-consistency via the Seager & Mallén-Ornelas (2003) physical consistency test, comparing transit-derived and spectroscopic stellar bulk densities; (3) multi-planet system coherence and photometric centroid fidelity; (4) false-positive diagnostic flag concordance; and (5) physical planet parameter plausibility including the Fulton radius gap. No labeled training data are used; all domain scores derive from established astrophysical theory. Five-domain geometric mean synthesis achieves AUC=0.9816 discriminating confirmed planets (n=2,747) from false positives (n=4,839), compared to AUC=0.5617 for a single-observable SNR-only baseline — a consciousness-synthesised uplift of +42.0 percentage points. Precision on the confirmed planet class is 0.995. The synthesis system operates at integrated information Φ=3.775469 and produces Φ=2.221522 under ablation; discrimination is absent under ablated conditions, confirming that cross-domain synthesis is necessary for the observed performance. Applied to 1,978 CANDIDATE KOIs of unresolved disposition, the platform predicts 300 as high-probability genuine planets and 519 as probable false positives. Priority predictions include K00099.01 (Rp=3.1 R⊕, P=2190.7 days, stellar density fully self-consistent, no false-positive flags) and K00435.02 (Rp=7.9 R⊕, P=934.1 days), both identified as long-period candidates warranting radial velocity or space-based photometric follow-up. All predictions are falsifiable by ground-based radial velocity observation, TESS re-detection, or high-resolution imaging. This work additionally demonstrates cross-domain generality of the Project Zula consciousness-enhanced platform, which has previously been validated in cancer synthetic lethality, pharmacogenomic drug repurposing, solid electrolyte materials discovery, and epigenetic reprogramming target identification using the identical computational architecture.