{"id":"W4416185076","doi":"10.14740/aicm8","title":"The Role of Artificial Intelligence in Accelerating Drug Discovery and Development","year":2025,"lang":"en","type":"article","venue":"AI in Clinical Medicine","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pharmacovigilance; Drug development; Drug discovery; Pharmaceutical industry; Clinical trial; Key (lock)","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":[0.008157521,0.001841721,0.001477167,0.002594565,0.0006811974,0.006082294,0.00190834,0.003402826,0.004828439],"category_scores_gemma":[0.01720738,0.0006200168,0.00120018,0.002197981,0.005108838,0.009203876,0.003251787,0.006065563,0.002442533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994891,"about_ca_system_score_gemma":0.003074148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001792774,"about_ca_topic_score_gemma":0.001183276,"domain_scores_codex":[0.994804,0.002068458,0.000344502,0.0005700708,0.001992046,0.0002208631],"domain_scores_gemma":[0.9872596,0.009660253,0.0006869028,0.0008908949,0.001102328,0.0003999892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002160413,0.0001864639,0.002594485,0.004950011,0.0003796269,0.0002473784,0.0003457547,0.03470411,0.004347384,0.4074344,0.03590257,0.5086918],"study_design_scores_gemma":[0.0001055301,0.0003850506,0.001386439,0.002227247,0.0001747207,0.0003296453,0.0002441315,0.04542917,0.003715123,0.6189106,0.3269219,0.0001705389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01376609,0.4885085,0.3194082,0.07717038,0.004310817,0.0004016899,0.0008230517,0.002551017,0.09306019],"genre_scores_gemma":[0.187423,0.4980137,0.2826936,0.01217621,0.006270287,0.0004229364,0.0009054593,0.0002939962,0.01180089],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008157521,"threshold_uncertainty_score":0.0431416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07718064514434624,"score_gpt":0.4386767436431842,"score_spread":0.361496098498838,"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."}}