{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006199928,0.0002022641,0.0002235181,0.0004372522,0.002359767,0.0006221425,0.0005353832,0.0001047896,0.000009614891],"category_scores_gemma":[0.00003538464,0.0001517033,0.00003690227,0.0006361725,0.0002715686,0.0005025396,0.00015483,0.0005356776,0.00002948232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002735511,"about_ca_system_score_gemma":0.002266198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1449262,"about_ca_topic_score_gemma":0.9974955,"domain_scores_codex":[0.997718,0.0003550563,0.0002398435,0.0005774412,0.0004871184,0.0006225572],"domain_scores_gemma":[0.9991347,0.0001767305,0.00006320995,0.0002630534,0.00007378195,0.0002885519],"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":[0.000120632,0.00009528118,0.3626226,0.0001210985,0.00007676713,0.0009598205,0.08235817,0.000005323418,0.00001475499,0.5456071,0.00009837332,0.007920098],"study_design_scores_gemma":[0.0003900795,0.0004179761,0.216728,0.001007453,0.00001515998,0.000006863932,0.1970258,2.236306e-7,0.0002308854,0.01796427,0.5654029,0.0008104148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654393,0.0005861744,0.00001098591,0.03228755,0.0002715283,0.0005909381,0.00001327375,0.0002173632,0.0005828825],"genre_scores_gemma":[0.9959332,0.00009408686,0.0000104608,0.0002765973,0.0000643626,0.000004113276,0.000002811488,0.00001371517,0.003600657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8525693,"threshold_uncertainty_score":0.998939,"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."}}