{"id":"W7024504711","doi":"","title":"The Right to Health and Human Rights: Healthcare Providers' Perspectives on Artificial Technologies in Canada.","year":2024,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Human Rights and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Health care; Government (linguistics); Digital health; Telemedicine; MEDLINE","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":[0.01117022,0.0004164886,0.0004917251,0.001528327,0.03234407,0.01878179,0.002303436,0.01663632,0.007212676],"category_scores_gemma":[0.0224378,0.0004438196,0.0004471684,0.003012214,0.05125601,0.00523485,0.005875877,0.01425449,0.0003952384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1272027,"about_ca_system_score_gemma":0.2799312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848145,"about_ca_topic_score_gemma":0.9884818,"domain_scores_codex":[0.9851762,0.004725552,0.0002732852,0.0007309441,0.004326694,0.004767268],"domain_scores_gemma":[0.9786187,0.01086691,0.0006487783,0.0003063088,0.004135733,0.005423652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004223737,0.00003473364,0.002087418,0.0001019985,0.00001294628,0.0004399113,0.06365974,0.0003696347,0.0001869077,0.8649208,0.05435406,0.01378954],"study_design_scores_gemma":[0.00009541248,0.00004731903,0.009055644,0.001334621,0.00006447035,0.0004220291,0.1944962,0.001632876,0.0003966953,0.2013129,0.5909665,0.0001753889],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02227272,0.01200549,0.0009282298,0.7821988,0.0006555823,0.0000395216,0.00009737516,0.00001329577,0.181789],"genre_scores_gemma":[0.8364562,0.01120274,0.001051962,0.1072737,0.0003004041,0.00004147002,0.00004258288,0.00003806493,0.04359287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1272027,"threshold_uncertainty_score":0.9229246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07077588004243142,"score_gpt":0.3424653331231431,"score_spread":0.2716894530807117,"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."}}