{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003296247,0.00007363605,0.0001571748,0.00003655097,0.001707179,0.000005589848,0.0003431948,0.0000453997,0.003282469],"category_scores_gemma":[0.0005160155,0.00003453165,0.00002504178,0.0004011884,0.0001587243,0.00003644105,0.00009772551,0.001085367,0.00002357523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572296,"about_ca_system_score_gemma":0.003338268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5554097,"about_ca_topic_score_gemma":0.9703467,"domain_scores_codex":[0.9969578,0.001643827,0.0004038956,0.0001730488,0.0003250414,0.0004964295],"domain_scores_gemma":[0.996647,0.002462601,0.0001262411,0.000469062,0.00009816133,0.0001969387],"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":[0.0005122182,0.0002274808,0.1242715,0.0005010381,0.00002309917,0.000008397698,0.2061614,0.0001832962,0.000003061494,0.3110979,0.07920167,0.277809],"study_design_scores_gemma":[0.00003106764,0.0001595519,0.007519026,0.00001117514,0.000002402286,2.911802e-7,0.3820967,0.00006737445,0.000002407088,0.0004873787,0.6095847,0.00003796682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2169297,0.002811197,0.00007065653,0.7662411,0.001430952,0.001888918,0.00007465945,0.00002984929,0.01052297],"genre_scores_gemma":[0.994743,0.00005089225,0.00008577218,0.004356101,0.0002104385,0.0001720619,0.000009205992,0.000006777814,0.0003657506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7778133,"threshold_uncertainty_score":0.9995925,"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."}}