{"id":"W2315912864","doi":"10.1016/s0735-1097(16)30804-x","title":"MULTI-FACETED KNOWLEDGE TRANSLATION TO IMPROVE CARE OF PATIENTS WITH ATRIAL FIBRILLATION: PRELIMINARY RESULTS FROM THE INTEGRATE/FACILITER PROJECTS","year":2016,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Atrial fibrillation; Translation (biology); Intensive care medicine; Knowledge translation; Internal medicine; Knowledge management; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003947822,0.0001152394,0.000437624,0.00007289848,0.00005829265,0.000007175393,0.0006801728,0.00004748859,7.465086e-7],"category_scores_gemma":[0.0004694772,0.00004900229,0.0002493321,0.0004346004,0.0002650202,0.0001680598,0.00008984379,0.0000841041,9.84354e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007977738,"about_ca_system_score_gemma":0.0002667525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002675043,"about_ca_topic_score_gemma":0.00002270541,"domain_scores_codex":[0.9982498,0.0005835003,0.0005904203,0.0002067581,0.0002428774,0.0001266452],"domain_scores_gemma":[0.996628,0.001008157,0.000884774,0.0005864516,0.0008484086,0.00004422597],"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":[0.03329539,0.0001203257,0.2335323,0.00005717877,0.001076189,0.00000813042,0.02868224,0.007008378,0.02633939,0.0002668475,0.001803438,0.6678101],"study_design_scores_gemma":[0.004515219,0.005265294,0.976375,0.0001427695,0.0001228693,0.00001855872,0.00123964,0.000625395,0.004116829,0.0001220964,0.007264785,0.0001915139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536631,0.0001264845,0.04245668,0.002177942,0.0003863582,0.00053525,0.0006007199,0.000006919253,0.00004651236],"genre_scores_gemma":[0.9915286,0.00001034593,0.008239717,0.00001875505,0.0001768992,0.000001798819,0.00000276421,0.000005038099,0.00001611399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7428427,"threshold_uncertainty_score":0.1998256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291550618767262,"score_gpt":0.2573712624807077,"score_spread":0.2344557562930351,"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."}}