{"id":"W2157920367","doi":"10.1503/cmaj.081697","title":"Managing evidence-based knowledge: the need for reliable, relevant and readable resources","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Computer science; Data science; Evidence-based practice; Evidence-based medicine; Base (topology); Clinical Practice; Knowledge base; Face (sociological concept); Knowledge management; Medicine; World Wide Web; Alternative medicine; Pathology; Family medicine","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":["metaresearch"],"category_scores_codex":[0.3022043,0.002831518,0.009654989,0.03063209,0.006425865,0.0480186,0.02034805,0.02861509,0.01225289],"category_scores_gemma":[0.6500145,0.004019495,0.002799743,0.01505829,0.01810093,0.07668925,0.03195453,0.03014812,0.007846043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01502707,"about_ca_system_score_gemma":0.06920496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005098144,"about_ca_topic_score_gemma":0.004987714,"domain_scores_codex":[0.7459027,0.1460114,0.04395584,0.00670666,0.05375957,0.003663791],"domain_scores_gemma":[0.1830294,0.6774746,0.0385716,0.03121474,0.05136003,0.01834968],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002285402,0.0005023957,0.002158173,0.01954206,0.0008170054,0.001749852,0.006442774,0.003948613,0.0006290133,0.1129432,0.211118,0.6399203],"study_design_scores_gemma":[0.0003156343,0.0002245845,0.001603891,0.05452945,0.0003933944,0.00164485,0.007686856,0.003231263,0.0006503791,0.6414722,0.2877072,0.0005402523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002107297,0.0975834,0.08780043,0.7851999,0.005120785,0.001137441,0.0006271731,0.0006552533,0.01976825],"genre_scores_gemma":[0.0695879,0.1747668,0.6401975,0.08787929,0.0178454,0.003645404,0.001686609,0.0008114882,0.003579648],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6977957,"threshold_uncertainty_score":0.8605064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07705828407550053,"score_gpt":0.4242390251442272,"score_spread":0.3471807410687267,"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."}}