{"id":"W4391932722","doi":"10.3233/shti231318","title":"Accelerating AI Innovation in Healthcare Through Mentorship","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Michener Institute; University of Toronto; University Health Network","funders":"","keywords":"Mentorship; Health care; Knowledge management; Medical education; Foundation (evidence); Computer science; Psychology; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03709288,0.0005983094,0.0002875268,0.001482631,0.006261699,0.006357513,0.003057275,0.001143239,0.006516792],"category_scores_gemma":[0.06030662,0.0003281294,0.000616714,0.0007540718,0.002961705,0.002617198,0.01048351,0.003146192,0.001085407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008783682,"about_ca_system_score_gemma":0.05711858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02460184,"about_ca_topic_score_gemma":0.06713286,"domain_scores_codex":[0.9677569,0.02321199,0.00049105,0.000934827,0.003550896,0.004054363],"domain_scores_gemma":[0.9079233,0.02438099,0.005435357,0.006428875,0.01200482,0.04382655],"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":[0.0003947533,0.006509244,0.06713216,0.000914698,0.0001280256,0.0007853347,0.06655972,0.00126161,0.003432855,0.01223691,0.04657027,0.7940744],"study_design_scores_gemma":[0.0009687043,0.008522674,0.2293831,0.002741604,0.000304256,0.001579823,0.1951023,0.007367737,0.0123079,0.02484215,0.5164518,0.0004279973],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7681534,0.002843446,0.03749168,0.09716024,0.001847348,0.00484441,0.0001849135,0.0009057305,0.0865688],"genre_scores_gemma":[0.9409247,0.001442051,0.03444622,0.004308832,0.0003716088,0.00111625,0.0001007128,0.00006945237,0.0172201],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03709288,"threshold_uncertainty_score":0.1961682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3266619063338012,"score_gpt":0.5281284608416212,"score_spread":0.20146655450782,"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."}}