{"id":"W2998567889","doi":"10.1016/j.cjca.2019.12.029","title":"Translating Scientific Evidence Into Clinical Practice: Closing the Loop","year":2019,"lang":"en","type":"letter","venue":"Canadian Journal of Cardiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Heart and Stroke Foundation; University of Toronto","funders":"Novo Nordisk; Novartis; Amgen","keywords":"Medicine; Closing (real estate); Loop (graph theory); Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1786245,0.001950232,0.008650918,0.005072473,0.005497498,0.02048944,0.008155623,0.08181641,0.01127725],"category_scores_gemma":[0.6402553,0.00267984,0.005282883,0.003850479,0.01860141,0.03144708,0.01265896,0.1058781,0.007993963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01165174,"about_ca_system_score_gemma":0.02835041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00574609,"about_ca_topic_score_gemma":0.008861981,"domain_scores_codex":[0.8166621,0.1087896,0.02309883,0.01102626,0.03754375,0.002879461],"domain_scores_gemma":[0.1575058,0.7495673,0.01555467,0.01337742,0.04897711,0.01501775],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004958977,0.0001311394,0.0008378726,0.001886115,0.0006597761,0.0006020197,0.0005143742,0.0002821159,0.0001877278,0.0153212,0.9169949,0.06208692],"study_design_scores_gemma":[0.002325629,0.0003194183,0.001553809,0.01254241,0.0009588724,0.001117489,0.001251068,0.003397015,0.0004837816,0.2868732,0.6887264,0.0004509041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006381361,0.004774198,0.0004267608,0.9823899,0.01205389,0.00001134927,0.00002620974,0.00002005382,0.0002338244],"genre_scores_gemma":[0.002705863,0.004835375,0.003192335,0.9085406,0.08015267,0.00008978819,0.00002788991,0.00005051376,0.0004050116],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8213755,"threshold_uncertainty_score":0.944668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7965820660499281,"score_gpt":0.5708654073141076,"score_spread":0.2257166587358205,"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."}}