{"id":"W6986808554","doi":"","title":"Regulation of Health AI Chatbots in Ontario","year":2023,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harm; Corporate governance; Health care; Field (mathematics); Adaptation (eye); Production (economics); Digital health","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":[0.02712669,0.0003818652,0.0003766068,0.002023942,0.01382865,0.007932386,0.003796933,0.004338345,0.008353996],"category_scores_gemma":[0.05199162,0.001005045,0.0005149505,0.002103654,0.007859662,0.002262824,0.003840954,0.002488908,0.001297951],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1127255,"about_ca_system_score_gemma":0.192422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9512321,"about_ca_topic_score_gemma":0.9661711,"domain_scores_codex":[0.9696347,0.006896602,0.001815671,0.00278115,0.01426498,0.004606932],"domain_scores_gemma":[0.8718256,0.0447046,0.006604634,0.006549294,0.05830918,0.01200682],"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":[0.001009422,0.000498694,0.08906037,0.0018906,0.00012512,0.002817749,0.1074098,0.006067077,0.02407448,0.3600898,0.2582695,0.1486873],"study_design_scores_gemma":[0.0001059491,0.0001722162,0.06652894,0.0007621383,0.00006015806,0.0002257431,0.01540932,0.006923177,0.004434858,0.007083676,0.8980383,0.0002555256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3032174,0.005754326,0.05756233,0.1879859,0.00182251,0.00611841,0.004994506,0.003178524,0.4293661],"genre_scores_gemma":[0.7732633,0.001883451,0.01784628,0.02247959,0.0002885512,0.002625019,0.001128624,0.0003277159,0.1801575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8872745,"threshold_uncertainty_score":0.8178844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3695726069785871,"score_gpt":0.4395440627828704,"score_spread":0.06997145580428338,"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."}}