{"id":"W2024738100","doi":"10.1186/1748-5908-9-71","title":"How funding agencies can support research use in healthcare: an online province-wide survey to determine knowledge translation training needs","year":2014,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Commission of Canada; Michael Smith Health Research BC","funders":"","keywords":"Knowledge translation; Work (physics); Medical education; Quarter (Canadian coin); Health services research; Health administration; Medicine; Health care; Training (meteorology); Demographics; Health informatics; Public relations; Public health; Nursing; Knowledge management; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":true,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"grok","categories":["metaresearch"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"},{"model":"opus","categories":["metaresearch"],"domain":"incentives","study_design":"observational","genre":"empirical","about_ca_system":true,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04340009,0.0002484747,0.0003734364,0.002821323,0.002600046,0.0003725499,0.0009495161,0.00009822568,0.0001502236],"category_scores_gemma":[0.01213525,0.0002515425,0.00003008378,0.007502285,0.000442778,0.003054444,0.0002222204,0.0006553669,0.00005479045],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911939,"about_ca_system_score_gemma":0.009038017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01997013,"about_ca_topic_score_gemma":0.5431873,"domain_scores_codex":[0.9878273,0.005215437,0.001533367,0.0009280798,0.001899926,0.00259586],"domain_scores_gemma":[0.987833,0.008325831,0.0004165953,0.0006648289,0.001524853,0.001234869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005436231,0.00004990802,0.6348715,0.0001394846,0.000002156088,0.000002851667,0.2079834,0.00002128247,0.01057826,0.001865816,0.001465915,0.142965],"study_design_scores_gemma":[0.001483116,0.0006878914,0.8769265,0.00007438013,0.000003028256,0.000002992063,0.08271709,0.001604137,0.0005741491,0.0002155119,0.03536439,0.0003467452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603606,0.00000295978,0.005229551,0.03021706,0.0005542316,0.002898802,0.0004713273,0.00009292932,0.0001724985],"genre_scores_gemma":[0.9826554,0.000006925717,0.006519521,0.009504152,0.0002016295,0.0003853478,0.00021139,0.0000327734,0.0004828774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5232171,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9628363091388278,"score_gpt":0.7463095418808474,"score_spread":0.2165267672579804,"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."}}