{"id":"W2615350079","doi":"10.14288/1.0343475","title":"Anticipating nursing practice implications of medical assistance in dying for minors in Canada : An environmental scan and policy analysis","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nursing; Nursing practice; Medicine","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":[0.006569438,0.0002583274,0.0003917894,0.002506035,0.00781945,0.004967015,0.002516483,0.002872397,0.002319868],"category_scores_gemma":[0.04485512,0.0004129796,0.0007862628,0.005260897,0.003102191,0.001760296,0.002492584,0.003327924,0.00006453261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1227025,"about_ca_system_score_gemma":0.2776972,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920965,"about_ca_topic_score_gemma":0.9970751,"domain_scores_codex":[0.9913435,0.002423492,0.0003675446,0.0003206064,0.002022575,0.003522291],"domain_scores_gemma":[0.9608069,0.01795049,0.003905803,0.000461364,0.01237156,0.004503825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004219855,0.0006132854,0.8552465,0.0008322914,0.0003314321,0.001201295,0.02388063,0.006939073,0.000233575,0.03918605,0.01726101,0.0538529],"study_design_scores_gemma":[0.00006369406,0.0001663002,0.8366362,0.001473852,0.0004007056,0.0002152584,0.1201911,0.00787162,0.0003239686,0.01061696,0.02189541,0.0001449448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901554,0.002976987,0.0003669785,0.06970644,0.00006993521,0.0002046556,0.00158355,0.00001077219,0.02352675],"genre_scores_gemma":[0.9941577,0.001453718,0.0005311462,0.002674883,0.00001923749,0.00004582438,0.0001986743,0.000004648194,0.0009142176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1227025,"threshold_uncertainty_score":0.8902733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510691840154937,"score_gpt":0.3339009042425944,"score_spread":0.308793985841045,"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."}}