{"id":"W4393988483","doi":"10.1158/1538-7445.am2024-ct231","title":"Abstract CT231: Identification of a novel agnostic predictive multiomic signature via Elastic Net/Machine Learning in TALAPRO-2 (TP-2), a phase 3 study of talazoparib (TALA) + enzalutamide (ENZA) vs placebo (PBO) + ENZA as first-line (1L) treatment in patients (pts) with metastatic castration-resistant prostate cancer (mCRPC)","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baker Hughes (Canada)","funders":"","keywords":"Placebo; Identification (biology); Medicine; Artificial intelligence; Computer science; Internal medicine; Biology; Pathology; Botany; Alternative medicine","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":[0.001333493,0.0004910796,0.0004510734,0.0007983095,0.0002000438,0.0009915191,0.0003871608,0.00033038,0.00255202],"category_scores_gemma":[0.001370141,0.0001317035,0.0005941483,0.000626673,0.0003012883,0.0003675982,0.0004552612,0.0007079712,0.0004370646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004366452,"about_ca_system_score_gemma":0.0004101846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104996,"about_ca_topic_score_gemma":0.001281502,"domain_scores_codex":[0.9997458,0.00008712563,0.00001376371,0.00007649104,0.00005002717,0.00002679256],"domain_scores_gemma":[0.9995614,0.0001734885,0.0001249888,0.00003139996,0.00004877092,0.00006004564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.02138334,0.002225467,0.4226086,0.0007485165,0.001992013,0.0006520277,0.0001193257,0.1136156,0.07576107,0.001709282,0.01035725,0.3488276],"study_design_scores_gemma":[0.000629532,0.003735314,0.2421817,0.0001195991,0.0007887415,0.0008979022,0.0001931736,0.7076346,0.0338775,0.004571987,0.005255319,0.0001146719],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841025,0.001010622,0.01005656,0.0004044884,0.00003225134,0.00007941174,0.002651923,0.0001421896,0.001519867],"genre_scores_gemma":[0.9874906,0.0002856254,0.005609465,0.0001832771,0.00003763934,0.0000836839,0.004794583,0.00002678824,0.001488313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00255202,"threshold_uncertainty_score":0.008537412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982849328948157,"score_gpt":0.4004408706047087,"score_spread":0.3506123773152272,"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."}}