{"id":"W2921786773","doi":"10.12927/cjnl.2019.25753","title":"Medical Assistance in Dying (MAiD): Ten Things Leaders Need to Know","year":2018,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Ethics in medical practice","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Underpinning; Scope (computer science); Public relations; Health care; Legislature; Nursing; Sociology; Psychology; Political science; Medicine; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01164214,0.0002744539,0.0004363305,0.00033872,0.001280851,0.00003513234,0.0007864431,0.001185518,0.001426631],"category_scores_gemma":[0.03870305,0.0002678193,0.00006117797,0.0009985293,0.001614533,0.000485442,0.00007984237,0.008801947,0.002611546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009335931,"about_ca_system_score_gemma":0.0009393955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002874733,"about_ca_topic_score_gemma":0.0006484659,"domain_scores_codex":[0.9920967,0.0031612,0.000841902,0.00067732,0.001657224,0.001565643],"domain_scores_gemma":[0.9902657,0.007854328,0.0002339233,0.0006067707,0.000284039,0.0007553003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00106234,0.0005430141,0.03575312,0.001057424,0.00005239453,0.0001666103,0.5510311,0.000005325784,0.001733337,0.03100779,0.3272187,0.05036891],"study_design_scores_gemma":[0.004030702,0.0005142236,0.01805783,0.03172621,0.00008806006,0.00003025422,0.792937,0.001778275,0.0003025541,0.01680425,0.1324758,0.001254858],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03768095,0.0005309043,0.008349213,0.7698694,0.005841614,0.0009164988,0.000001566527,0.0004867855,0.1763231],"genre_scores_gemma":[0.8977862,0.00001226669,0.005718106,0.08994982,0.00212103,0.00005847634,0.000004579334,0.00008415341,0.004265333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8601053,"threshold_uncertainty_score":0.9999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3574868988634863,"score_gpt":0.5033094596392255,"score_spread":0.1458225607757392,"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."}}