{"id":"W4405807737","doi":"10.1016/j.drudis.2024.104280","title":"Biomedical data analytics for better patient outcomes","year":2024,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Canada West","funders":"","keywords":"Analytics; Data science; Pharmaceutical sciences; Computer science; Data analysis; Medicine; Data mining; Pharmacology","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":[0.003300252,0.001496278,0.002623667,0.004373979,0.0002639196,0.001931379,0.001093402,0.001542951,0.005502553],"category_scores_gemma":[0.008070118,0.0003967087,0.002015676,0.004256836,0.0007645685,0.002604414,0.001661972,0.003898302,0.001530782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130163,"about_ca_system_score_gemma":0.003720053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917665,"about_ca_topic_score_gemma":0.003141938,"domain_scores_codex":[0.999099,0.000269552,0.0001414851,0.0001181987,0.0003038263,0.00006793901],"domain_scores_gemma":[0.9952157,0.003438331,0.0004624729,0.000134482,0.0005945296,0.0001546172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008800883,0.00006268133,0.0002927449,0.01782628,0.000525864,0.00004644618,0.0000305427,0.0003588567,0.0002405166,0.005824312,0.03778305,0.9369208],"study_design_scores_gemma":[0.0001996444,0.0001925816,0.002145513,0.04971453,0.002219899,0.0005987986,0.000103607,0.0008273482,0.0005999407,0.02182587,0.9215037,0.00006851377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000661982,0.9970356,0.0003914,0.001436551,0.0003613791,0.000009199264,0.00006568799,0.00001753108,0.0006164525],"genre_scores_gemma":[0.0008576667,0.9964958,0.0006841584,0.001066677,0.0005750227,0.00001355152,0.00009956083,0.000003815243,0.0002037709],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005502553,"threshold_uncertainty_score":0.01840788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06363758807145739,"score_gpt":0.3587430232004504,"score_spread":0.295105435128993,"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."}}