{"id":"W4402351035","doi":"10.1101/2024.09.07.24313154","title":"Exploring the impact of a context-adapted decision aid and online training about shared decision making about goals of care with elderly patients in the intensive care unit: a mixed-methods study","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université Laval; Centre hospitalier universitaire de Québec; Centres Intégré Universitaires de Santé et de Services Sociaux; Institut universitaire de cardiologie et de pneumologie de Québec; Centre Intégré de Santé et Services Sociaux de Chaudière-Appalache; Université du Québec en Outaouais; Centre hospitalier de l'Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Context (archaeology); Training (meteorology); Intensive care unit; Unit (ring theory); Elderly care; Clinical decision making; Medicine; Computer science; Psychology; Nursing; Knowledge management; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02553015,0.0008823886,0.001147177,0.00126513,0.002888235,0.002493553,0.001777104,0.001246354,0.002682468],"category_scores_gemma":[0.02809328,0.0009217831,0.001354369,0.001122077,0.001724642,0.002105962,0.002657852,0.001641061,0.0002927542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004764439,"about_ca_system_score_gemma":0.01047601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006295114,"about_ca_topic_score_gemma":0.01526846,"domain_scores_codex":[0.9827351,0.01224836,0.001382671,0.001170475,0.001224829,0.001238648],"domain_scores_gemma":[0.9729153,0.01806038,0.002912256,0.001335238,0.002475251,0.002301601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.008300969,0.09914121,0.1577649,0.008052316,0.001208694,0.001164401,0.4542388,0.001409916,0.004345392,0.001538891,0.002064262,0.2607703],"study_design_scores_gemma":[0.01321813,0.1211552,0.3018482,0.005703273,0.001869009,0.000516999,0.5190055,0.005473155,0.007122625,0.002519838,0.02092036,0.0006477574],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931004,0.000205206,0.001149628,0.0002049004,0.00002870126,0.004574652,0.0001156888,0.000009943013,0.0006109197],"genre_scores_gemma":[0.9609903,0.0004528117,0.01415579,0.0008252329,0.00006664473,0.0225319,0.0001590294,0.00001489911,0.0008033781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02553015,"threshold_uncertainty_score":0.1350179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2335104440359853,"score_gpt":0.4833406285399457,"score_spread":0.2498301845039604,"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."}}