{"id":"W3140244899","doi":"","title":"AI and Health Law","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Tort; Health care; Health law; Corporate governance; Government (linguistics); Triage; Public relations; Business; CLARITY; Liability; Political science; Law; Health policy; International health; Medicine; Medical emergency","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005132615,0.00009002745,0.0002262829,0.00002614907,0.0008905543,0.00001816229,0.0000845899,0.0001096421,0.0006810844],"category_scores_gemma":[0.0004387346,0.00007295661,0.00004224037,0.0001093433,0.00005508387,0.0001755535,0.00005851792,0.005228393,0.0001394554],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005634384,"about_ca_system_score_gemma":0.008509563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006084366,"about_ca_topic_score_gemma":0.008071419,"domain_scores_codex":[0.9962246,0.0007757157,0.0003977382,0.000172438,0.0002342719,0.002195214],"domain_scores_gemma":[0.9989911,0.0002571719,0.0001634286,0.000163581,0.0001447979,0.0002799581],"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":[0.00001627844,0.00005372308,0.005033845,0.00006649167,0.00004362068,0.000008182901,0.0009178115,1.552487e-7,0.0000219904,0.9759043,0.004843938,0.01308966],"study_design_scores_gemma":[0.0008195734,0.0002522305,0.001713967,0.0001211473,0.00001943936,0.0002757414,0.01690654,0.00001380942,0.000009043347,0.3790575,0.6007056,0.0001054494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07399125,0.02103417,0.002616397,0.8866521,0.0008455982,0.0002712054,0.000002563487,0.00006424796,0.01452248],"genre_scores_gemma":[0.9362096,0.01363754,0.0001437803,0.04247154,0.0008788619,0.000007135934,0.000004498509,0.000015528,0.006631474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8622184,"threshold_uncertainty_score":0.9971113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04809475927857241,"score_gpt":0.4579800377770527,"score_spread":0.4098852784984802,"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."}}