{"id":"W4376508346","doi":"10.1080/15548627.2023.2210995","title":"From jeopardy champion to drug discovery; semantic similarity artificial intelligence","year":2023,"lang":"en","type":"article","venue":"Autophagy","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biology; Champion; Drug discovery; Computational biology; Semantic similarity; Similarity (geometry); Artificial intelligence; Bioinformatics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001509413,0.0006997705,0.0008356925,0.003116064,0.0004956829,0.001857814,0.001075495,0.0008001518,0.003534547],"category_scores_gemma":[0.006865569,0.0002667654,0.000874581,0.002064279,0.001295822,0.002054874,0.001586601,0.001091348,0.0005844396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084336,"about_ca_system_score_gemma":0.001545544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001842106,"about_ca_topic_score_gemma":0.002637406,"domain_scores_codex":[0.9986787,0.0006263423,0.00008216112,0.0002016365,0.0003748127,0.00003629288],"domain_scores_gemma":[0.9977372,0.001463891,0.0001897542,0.0003169529,0.0001921536,0.0001001044],"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":[0.0003528641,0.000407933,0.007074223,0.001496591,0.0005295951,0.0004345281,0.000284181,0.2146816,0.003034602,0.1787336,0.02392814,0.5690422],"study_design_scores_gemma":[0.00004009014,0.0001196852,0.0007337274,0.0001547442,0.00007432431,0.0002056909,0.0001278271,0.730418,0.001806067,0.2426327,0.02365475,0.00003236039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05031119,0.006888748,0.8967524,0.0114651,0.0003017512,0.0003554054,0.001988734,0.003287601,0.02864923],"genre_scores_gemma":[0.4834687,0.004243942,0.5035061,0.001424418,0.0002671187,0.0003012484,0.002560042,0.0001953751,0.0040331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003534547,"threshold_uncertainty_score":0.01182425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04731452298656293,"score_gpt":0.3361657357140944,"score_spread":0.2888512127275315,"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."}}