{"id":"W2125481370","doi":"10.1016/j.pec.2010.05.021","title":"Cognitive-emotional decision making (CEDM): A framework of patient medical decision making","year":2010,"lang":"en","type":"review","venue":"Patient Education and Counseling","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Western University; Alberta Health Services","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Cognition; Set (abstract data type); Psychology; Affect (linguistics); Medical decision making; Clinical decision making; R-CAST; Applied psychology; Frame (networking); Social psychology; Cognitive psychology; Business decision mapping; Decision support system; Medicine; Computer science; Psychiatry; Medical emergency","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","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0008764918,0.0006281884,0.001511099,0.0007339353,0.001339059,0.00004323514,0.0006361348,0.001679216,0.001177285],"category_scores_gemma":[0.009410026,0.0005607558,0.000331278,0.0007486918,0.0001821137,0.0001946683,0.0005058809,0.003588699,0.0001662659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004199534,"about_ca_system_score_gemma":0.005482586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004024604,"about_ca_topic_score_gemma":0.00005638117,"domain_scores_codex":[0.9916291,0.001518578,0.003472178,0.0008995516,0.001822699,0.0006579399],"domain_scores_gemma":[0.9788891,0.014706,0.003127052,0.001089858,0.001787528,0.0004004309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000061808,0.0003400223,0.0004509048,0.006956816,0.00003638655,0.000001051949,0.01110352,0.000001185608,4.814811e-8,0.0008579246,0.0004722933,0.979718],"study_design_scores_gemma":[0.0002499785,0.0001597725,0.0000745248,0.3788842,0.0002483178,0.00003241008,0.01102195,0.0002629981,1.662173e-7,0.005391993,0.6030893,0.0005844663],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005919365,0.9763579,0.007064569,0.000103289,0.006636185,0.003075927,0.0001262557,0.00009828406,0.0006182541],"genre_scores_gemma":[0.0499469,0.9226895,0.02391447,0.001358703,0.0004784438,0.00115749,0.0003179948,0.0001243449,0.00001217426],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9791335,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1363358964838487,"score_gpt":0.4959694797561519,"score_spread":0.3596335832723032,"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."}}