{"id":"W4309350451","doi":"10.1001/jamanetworkopen.2022.42370","title":"Characterization of Oncology Clinical Trials Using Germline Genetic Data","year":2022,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"PARP inhibition in cancer therapy","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Clinical trial; Medicine; Germline; Oncology; PARP inhibitor; Cancer; Internal medicine; Psychological intervention; Genetics; Biology; Poly ADP ribose polymerase; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09052154,0.0004640695,0.001317896,0.008300315,0.0005987601,0.003370754,0.001197982,0.0008389761,0.002857472],"category_scores_gemma":[0.2438883,0.0003847817,0.001771025,0.008388284,0.000995605,0.002645455,0.001474475,0.0006663136,0.0005847575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264351,"about_ca_system_score_gemma":0.003046259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005235279,"about_ca_topic_score_gemma":0.001152224,"domain_scores_codex":[0.8485474,0.0793414,0.04887031,0.008311395,0.01317821,0.001751263],"domain_scores_gemma":[0.5539011,0.2839577,0.1287235,0.01782873,0.01315862,0.002430255],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006263049,0.0002673686,0.9024419,0.006926643,0.002674146,0.0004321322,0.001012312,0.002597806,0.001687813,0.004014781,0.002978707,0.06870339],"study_design_scores_gemma":[0.002975377,0.006272565,0.8873428,0.006430173,0.00470238,0.003764842,0.002536755,0.01106603,0.007475595,0.009038577,0.0581691,0.0002257927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980555,0.02623012,0.0201116,0.001694849,0.0001459684,0.01019672,0.03472858,0.0001829445,0.008653857],"genre_scores_gemma":[0.9464802,0.002675198,0.0245471,0.001026985,0.0001398104,0.00978961,0.01461303,0.00008078274,0.0006472558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9094784,"threshold_uncertainty_score":0.4787294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5107098225571897,"score_gpt":0.5561134537289499,"score_spread":0.04540363117176027,"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."}}