{"id":"W4412678648","doi":"10.1101/2025.07.22.666135","title":"Cancer Alpha: A Production-Ready AI System for Multi-Modal Cancer Genomics Classification","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Cancer Technologies","funders":"","keywords":"Cancer; Genomics; Modal; Production (economics); Alpha (finance); Computational biology; Computer science; Biology; Medicine; Genetics; Genome; Gene; Materials science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002452403,0.001136398,0.0006059163,0.001633878,0.0004380252,0.002165595,0.002294154,0.0005956193,0.01059876],"category_scores_gemma":[0.004435458,0.0005717507,0.001216188,0.001422792,0.0005066784,0.002006348,0.002300904,0.001654686,0.007006784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315821,"about_ca_system_score_gemma":0.001745794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004921301,"about_ca_topic_score_gemma":0.003106348,"domain_scores_codex":[0.9988053,0.0001996023,0.00009611591,0.0004355675,0.0003600507,0.0001033775],"domain_scores_gemma":[0.9982053,0.0004646906,0.0001355201,0.0005752738,0.0004234784,0.0001956453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003108341,0.0004805904,0.01736187,0.0007020193,0.0005761011,0.0007530964,0.0005214482,0.05046696,0.08032887,0.01946918,0.3889597,0.4372717],"study_design_scores_gemma":[0.0002970923,0.0002217223,0.006862388,0.00008283246,0.0001419521,0.0004741295,0.0001513418,0.7457543,0.08478267,0.02450936,0.1365744,0.0001477423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01623169,0.0003476629,0.4658459,0.0007627012,0.000225144,0.0003296008,0.008566112,0.4996446,0.00804647],"genre_scores_gemma":[0.3356039,0.00054294,0.5605733,0.002164402,0.0002229929,0.0008213363,0.06599993,0.02138479,0.01268626],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01059876,"threshold_uncertainty_score":0.03545636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03768214061712004,"score_gpt":0.3085351487224267,"score_spread":0.2708530081053066,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}