{"id":"W2126754677","doi":"10.1186/1748-5908-4-60","title":"Improving outcomes for ill and injured children in emergency departments: protocol for a program in pediatric emergency medicine and knowledge translation science","year":2009,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia; Canadian Institutes of Health Research; University of Ottawa; McGill University; University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Knowledge translation; Health services research; Pediatric emergency medicine; Psychological intervention; Emergency department; Health administration; Health care; Health informatics; Emergency medical services; Medical education; Family medicine; Medical emergency; Public health; Nursing; Emergency physician","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1088625,0.003607756,0.005120194,0.005487804,0.009273387,0.005005974,0.005162191,0.007623901,0.04805004],"category_scores_gemma":[0.07408776,0.003250767,0.006937643,0.008073397,0.004772988,0.004116151,0.007070943,0.01232273,0.01076172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02334341,"about_ca_system_score_gemma":0.1011092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274959,"about_ca_topic_score_gemma":0.02813398,"domain_scores_codex":[0.9391236,0.03572669,0.01219496,0.002542943,0.005609388,0.004802469],"domain_scores_gemma":[0.9356884,0.01614436,0.006783474,0.007508335,0.02711932,0.00675608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.08908427,0.04870928,0.01137921,0.0987334,0.001557731,0.00329923,0.03022669,0.01648062,0.007924265,0.04648839,0.208981,0.4371359],"study_design_scores_gemma":[0.1574052,0.02418527,0.03244237,0.04017866,0.001286269,0.0006773968,0.01700288,0.007156138,0.00858389,0.02407343,0.6858765,0.001132009],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0003588937,0.00004049215,0.0009174869,0.0001971127,0.00007066255,0.9974698,0.000404376,0.00001822289,0.0005228688],"genre_scores_gemma":[0.0002384514,0.00006076207,0.002818942,0.00007717119,0.00001092271,0.9965128,0.0001232248,0.000001593497,0.0001561503],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1088625,"threshold_uncertainty_score":0.5757266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5661379684300792,"score_gpt":0.7257988166437912,"score_spread":0.159660848213712,"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."}}