{"id":"W2791704281","doi":"10.1136/bmjspcare-2017-001449","title":"An advance care plan decision support video before major surgery: a patient- and family-centred approach","year":2018,"lang":"en","type":"article","venue":"BMJ Supportive & Palliative Care","topic":"Family and Patient Care in Intensive Care Units","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Canadian Institutes of Health Research; Patient-Centered Outcomes Research Institute","keywords":"Viewpoints; Context (archaeology); Process (computing); Storyboard; Test (biology); Decision support system; Plan (archaeology); Computer science; Process management; Multimedia; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01808924,0.000929768,0.000331471,0.001244411,0.00183646,0.003073647,0.002219397,0.001685041,0.01016472],"category_scores_gemma":[0.03475762,0.0004673501,0.0005629261,0.0004976487,0.001980554,0.002932144,0.005347606,0.002133082,0.001326858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026683,"about_ca_system_score_gemma":0.005181919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001817359,"about_ca_topic_score_gemma":0.003632375,"domain_scores_codex":[0.9859277,0.01104726,0.000511852,0.0006327565,0.001418954,0.0004614374],"domain_scores_gemma":[0.9722905,0.02065382,0.00101915,0.001084421,0.002410641,0.002541558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008261051,0.002572833,0.00894192,0.002857275,0.00007988192,0.003664247,0.1129874,0.009372566,0.02606088,0.03038625,0.03846706,0.7637836],"study_design_scores_gemma":[0.001038304,0.006162393,0.01215313,0.004228623,0.0001845983,0.005212088,0.07295267,0.03830907,0.03023029,0.03372371,0.7952873,0.0005179127],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1761966,0.001181253,0.7121992,0.0164643,0.001054315,0.01279242,0.00101901,0.002653826,0.0764391],"genre_scores_gemma":[0.3162906,0.0007383015,0.668618,0.001675781,0.0001833428,0.004378232,0.0003459663,0.0002395237,0.007530263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01808924,"threshold_uncertainty_score":0.09566617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08699782508328266,"score_gpt":0.3949478985259887,"score_spread":0.307950073442706,"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."}}