{"id":"W4388417117","doi":"10.1503/cmaj.231487","title":"Correction to “What drives requests for MAiD?”","year":2023,"lang":"en","type":"erratum","venue":"Canadian Medical Association Journal","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Information retrieval; Text mining; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005685985,0.001660189,0.001459244,0.003015486,0.005591462,0.005168062,0.003182658,0.008351888,0.15407],"category_scores_gemma":[0.116759,0.001010607,0.001518829,0.002812443,0.002182515,0.003105791,0.002732891,0.01565088,0.09918245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005269146,"about_ca_system_score_gemma":0.01225602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05742174,"about_ca_topic_score_gemma":0.05428791,"domain_scores_codex":[0.9919021,0.001314496,0.001273177,0.0008228642,0.003763062,0.0009243338],"domain_scores_gemma":[0.9509776,0.01292907,0.00453816,0.001623338,0.02724065,0.002691131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002984338,5.324047e-7,0.00002039221,0.00001191003,8.003738e-7,0.00002410986,0.00001015016,0.000002051373,0.00000131677,0.0001299954,0.9990164,0.0007793182],"study_design_scores_gemma":[0.00003115573,0.000007126081,0.0004896353,0.0006730704,0.00001196847,0.0002909779,0.0001382093,0.00005529777,0.0000466417,0.0006898635,0.997541,0.00002523333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00009695269,0.001330997,0.000317382,0.3244767,0.6557609,0.00003436463,0.002889866,0.0004489961,0.01464376],"genre_scores_gemma":[0.008405064,0.005738453,0.001579589,0.4831452,0.290299,0.0003550858,0.00550174,0.001548681,0.2034273],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.15407,"threshold_uncertainty_score":0.5154155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326919052006931,"score_gpt":0.2849482242103574,"score_spread":0.2716790336902881,"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."}}