{"id":"W2626981796","doi":"10.1186/s41073-017-0037-8","title":"Reviewer training to assess knowledge translation in funding applications is long overdue","year":2017,"lang":"en","type":"article","venue":"Research Integrity and Peer Review","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Michael Smith Health Research BC","funders":"Michael Smith Health Research BC","keywords":"Knowledge translation; Excellence; Relevance (law); Accreditation; Political science; Public relations; Health care; Medical education; Modalities; Business; Engineering ethics; Knowledge management; Medicine; Computer science; Sociology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.8290663,0.002285843,0.006704724,0.01451216,0.01025403,0.0180513,0.008932804,0.01833084,0.009973521],"category_scores_gemma":[0.9353954,0.00349578,0.005071667,0.01023933,0.01509116,0.02211102,0.01471733,0.01144285,0.008487743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01274789,"about_ca_system_score_gemma":0.07866289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004262197,"about_ca_topic_score_gemma":0.005617657,"domain_scores_codex":[0.1020753,0.6119694,0.1635041,0.01943301,0.09770735,0.005310815],"domain_scores_gemma":[0.01435444,0.5293322,0.06991144,0.07207363,0.3065,0.007828283],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002092899,0.0006146787,0.043229,0.04590801,0.00262006,0.001143812,0.06965355,0.00157899,0.00585991,0.01774848,0.2036274,0.6059232],"study_design_scores_gemma":[0.001402788,0.00214863,0.06556958,0.07109721,0.002563883,0.003397579,0.02754682,0.01212188,0.01201538,0.08266969,0.7175221,0.001944457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.047952,0.04388058,0.329191,0.3904693,0.09989312,0.03500373,0.001988874,0.006241735,0.04537965],"genre_scores_gemma":[0.3516409,0.01437868,0.4024985,0.1166108,0.01867809,0.07839184,0.001834185,0.003174314,0.01279266],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1709337,"threshold_uncertainty_score":0.2107918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9780282322318703,"score_gpt":0.8145573755709148,"score_spread":0.1634708566609555,"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."}}