{"id":"W2771983700","doi":"10.1186/s12911-017-0570-x","title":"Recognizing difficult trade-offs: values and treatment preferences for end-of-life care in a multi-site survey of adult patients in family practices","year":2017,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; University of Toronto; University of Alberta; University of Calgary; Centre for Advancing Health Outcomes; Queen's University; St. Paul's Hospital; McMaster University; University of British Columbia; Health Sciences Centre","funders":"Canadian Frailty Network; Ontario Ministry of Health and Long-Term Care; Government of Canada","keywords":"Preference; Consistency (knowledge bases); Context (archaeology); Psychology; Quality of life (healthcare); Correlation; Medicine; Demography; Social psychology; Statistics; Nursing; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006642793,0.0001479425,0.0006412503,0.0001716725,0.00005630212,0.00002771925,0.0001126567,0.0001435094,0.00000322491],"category_scores_gemma":[0.01605804,0.00009701614,0.00004791363,0.00008815342,0.0001426018,0.0002214233,0.00008204722,0.00009766903,2.291626e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000290749,"about_ca_system_score_gemma":0.0002179577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008353255,"about_ca_topic_score_gemma":0.005602818,"domain_scores_codex":[0.9981875,0.00006650389,0.0009862832,0.0001316267,0.0004733752,0.0001547167],"domain_scores_gemma":[0.9947473,0.003607549,0.001042928,0.0001932053,0.0002872109,0.0001218503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006770913,0.0001030627,0.7053254,0.000637221,0.00001864134,9.314777e-7,0.008091317,0.000004527655,0.000002703127,0.000003848187,0.00001022522,0.2851251],"study_design_scores_gemma":[0.007956865,0.0008055051,0.9336525,0.007830073,0.00004581119,8.23129e-7,0.009606337,0.03980071,0.00009574214,0.00004380636,0.00005317718,0.0001086346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952539,0.001476259,0.002503872,0.000006707753,0.00007513216,0.0004435747,0.00008533059,0.000003901803,0.0001512905],"genre_scores_gemma":[0.9349742,0.00375898,0.06114667,0.00004054976,0.00001184667,0.00001584432,0.00004459187,0.000006056673,0.000001242695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2850164,"threshold_uncertainty_score":0.9922301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2915514438816454,"score_gpt":0.4681505701639161,"score_spread":0.1765991262822707,"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."}}