{"id":"W6922347536","doi":"10.13140/rg.2.2.11345.81760","title":"THE LIABILITY BATTLE WITH THE FUTURE OF ARTIFICIAL INTELLIGENCE IN CANADIAN HEALTH CARE","year":2022,"lang":"en","type":"article","venue":"","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Battle; Liability; Health care; Product liability; Component (thermodynamics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02082072,0.000465603,0.0007043493,0.003509433,0.02798986,0.02219228,0.003839665,0.01996012,0.01519096],"category_scores_gemma":[0.05222885,0.0007242935,0.001071557,0.004371334,0.02247617,0.00721661,0.004800103,0.01713819,0.0006524234],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2008475,"about_ca_system_score_gemma":0.3561637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890687,"about_ca_topic_score_gemma":0.9944095,"domain_scores_codex":[0.9765707,0.004329718,0.0006860506,0.001206034,0.01126651,0.005940941],"domain_scores_gemma":[0.9494401,0.01390724,0.001835508,0.0008112565,0.0219552,0.01205078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007963013,0.00006641466,0.007272508,0.0002065697,0.00004682174,0.000948807,0.006625007,0.001850675,0.0001547485,0.5776975,0.3526136,0.05243775],"study_design_scores_gemma":[0.00006458675,0.00005391738,0.03321014,0.001521107,0.00008659922,0.0006057486,0.01877967,0.003487981,0.0002154931,0.1128563,0.8288187,0.0002998395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00996523,0.0120522,0.0006488179,0.8963142,0.001516862,0.00002067935,0.0001197048,0.00002106501,0.07934131],"genre_scores_gemma":[0.6394178,0.03433928,0.003564758,0.2450205,0.004747007,0.00005013379,0.0002478828,0.00008156429,0.07253107],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2008475,"threshold_uncertainty_score":0.9269037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04036791784404575,"score_gpt":0.4163934419827905,"score_spread":0.3760255241387448,"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."}}