{"id":"W3102342516","doi":"10.31661/gmj.v9i0.2048","title":"Artificial Intelligence, Important Assistant of Scientists and Physicians","year":2020,"lang":"en","type":"article","venue":"Galen Medical Journal","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Medical education","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":[0.004773023,0.0004076747,0.0004721435,0.001863104,0.001401846,0.008297211,0.0008416369,0.00282574,0.007567846],"category_scores_gemma":[0.01536249,0.0002092411,0.0002124072,0.001431499,0.005206008,0.005430903,0.002440729,0.003720024,0.002609477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120467,"about_ca_system_score_gemma":0.00383725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007896503,"about_ca_topic_score_gemma":0.0006654229,"domain_scores_codex":[0.9966335,0.001717932,0.000225763,0.0004406483,0.0007988932,0.0001833337],"domain_scores_gemma":[0.9869478,0.007825676,0.0009063734,0.0008826113,0.001716092,0.001721414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001174614,0.0002467275,0.004978181,0.0009480774,0.00008050468,0.0004130501,0.004212992,0.0006395752,0.001958397,0.4783539,0.2090421,0.2990091],"study_design_scores_gemma":[0.00003257428,0.00007220762,0.002770386,0.0005568813,0.000026269,0.0009178519,0.001989649,0.001546725,0.0005070801,0.2965513,0.6949984,0.00003067855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01668753,0.1396531,0.05938948,0.5014358,0.01587458,0.0001015876,0.0003233025,0.0006697041,0.2658649],"genre_scores_gemma":[0.4999418,0.08646187,0.1046681,0.1277766,0.02099606,0.0002260318,0.0005241961,0.0003129912,0.1590923],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.008297211,"threshold_uncertainty_score":0.02531701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04329076480531882,"score_gpt":0.3506717717858603,"score_spread":0.3073810069805415,"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."}}