{"id":"W4403227272","doi":"10.1016/j.cjca.2024.08.070","title":"KNOWLEDGE TO ACTION: IMPLEMENTATION OF A KNOWLEDGE TRANSLATION STRATEGY TO IDENTIFY AND TREAT FAMILIAL HYPERCHOLESTEROLEMIA","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Knowledge translation; Translation (biology); Action (physics); Familial hypercholesterolemia; Knowledge management; Internal medicine; Cholesterol; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.08689225,0.001231877,0.001264421,0.003041024,0.00506546,0.007161171,0.004887831,0.007956321,0.01718077],"category_scores_gemma":[0.1227244,0.0008362844,0.001932336,0.001835173,0.002465038,0.005297066,0.01483609,0.01003314,0.003260918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01154636,"about_ca_system_score_gemma":0.1163535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154538,"about_ca_topic_score_gemma":0.01923449,"domain_scores_codex":[0.9458753,0.0368113,0.003941367,0.002462405,0.006877728,0.004031903],"domain_scores_gemma":[0.8612415,0.07681799,0.00601906,0.00749288,0.02314992,0.02527878],"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":[0.0007068981,0.009541073,0.009034336,0.00347199,0.0002547403,0.00240037,0.05925146,0.001703113,0.003106544,0.0103479,0.09110036,0.8090813],"study_design_scores_gemma":[0.005662806,0.005708357,0.05856234,0.02127613,0.002008247,0.002938539,0.1307522,0.02092659,0.01111943,0.07645222,0.6634536,0.001139584],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1443513,0.001946951,0.1382851,0.561693,0.005035564,0.03087254,0.001018447,0.003127949,0.1136692],"genre_scores_gemma":[0.4217369,0.002159054,0.4655101,0.0757725,0.0009333162,0.01523773,0.00092161,0.0004765659,0.01725223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08689225,"threshold_uncertainty_score":0.4595357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07818673853006136,"score_gpt":0.3916256407235202,"score_spread":0.3134389021934588,"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."}}