{"id":"W2800587646","doi":"10.1002/clc.22971","title":"Atrial fibrillation patient preferences for oral anticoagulation and stroke knowledge: Results of a conjoint analysis","year":2018,"lang":"en","type":"article","venue":"Clinical Cardiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Boehringer Ingelheim","keywords":"Medicine; Stroke (engine); Atrial fibrillation; Conjoint analysis; Seriousness; Intracerebral hemorrhage; Physical therapy; Emergency medicine; Internal medicine; Subarachnoid hemorrhage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01447009,0.0004724602,0.0008444613,0.001615819,0.0008037623,0.001567752,0.000519247,0.0005848762,0.002655987],"category_scores_gemma":[0.03396802,0.0002127883,0.002536332,0.002268972,0.0007210267,0.0008929954,0.001361978,0.0009535009,0.0002355752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246368,"about_ca_system_score_gemma":0.0009766425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002702281,"about_ca_topic_score_gemma":0.002293062,"domain_scores_codex":[0.9887208,0.007978595,0.0006478011,0.0004015619,0.001816384,0.0004347978],"domain_scores_gemma":[0.9622154,0.02983721,0.003521071,0.001091312,0.002384034,0.0009509851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005224594,0.002569653,0.8974508,0.0004640555,0.0031198,0.0002430064,0.008483071,0.007575487,0.0007080625,0.000612886,0.001028802,0.07251973],"study_design_scores_gemma":[0.000376728,0.00601121,0.9188162,0.0003038526,0.001482086,0.0008003962,0.01758221,0.04849055,0.001274544,0.003230452,0.001393673,0.0002381026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983793,0.0001719854,0.0005642443,0.0001059194,0.000006264972,0.00007632154,0.0001528177,0.000002619589,0.0005405035],"genre_scores_gemma":[0.9988849,0.00008661833,0.0007428505,0.00002840694,0.000003158179,0.00006076306,0.00008127988,0.000001001889,0.0001109674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01447009,"threshold_uncertainty_score":0.07652605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1907116954917983,"score_gpt":0.4501512340453859,"score_spread":0.2594395385535876,"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."}}