{"id":"W3129133416","doi":"10.1111/jep.13621","title":"Profiling knowledge brokers in the rehabilitation sector across Canada: A descriptive study","year":2021,"lang":"en","type":"article","venue":"Journal of Evaluation in Clinical Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Rehabilitation","funders":"Centre for Interdisciplinary Research in Rehabilitation; McGill University","keywords":"Knowledge translation; Facilitator; Descriptive statistics; Rehabilitation; Profiling (computer programming); Health care; Medicine; Medical education; Categorical variable; Nursing; Psychology; Knowledge management; Family medicine; Computer science; Physical therapy; Social psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003979245,0.0003077721,0.0008032557,0.005596282,0.01014391,0.004972311,0.00146761,0.0008754953,0.003184387],"category_scores_gemma":[0.01132545,0.0006378943,0.0005524866,0.01363139,0.002162506,0.002109238,0.003374399,0.001138281,0.0003217628],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04243046,"about_ca_system_score_gemma":0.1006134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764127,"about_ca_topic_score_gemma":0.9808311,"domain_scores_codex":[0.9957315,0.0003968618,0.0004558484,0.0004907901,0.001356989,0.00156805],"domain_scores_gemma":[0.9872714,0.002191548,0.002895327,0.0003529084,0.00437458,0.00291421],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009303257,0.0001876809,0.879445,0.0002871218,0.0000252769,0.0006555776,0.1035302,0.00004936735,0.0002553339,0.0004839217,0.001822903,0.01316464],"study_design_scores_gemma":[0.00001929225,0.0001217184,0.7207094,0.0003529188,0.00004395804,0.0003604124,0.2713583,0.0004272043,0.0001291984,0.0001290962,0.006295023,0.00005360584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955403,0.0004894674,0.0001272026,0.0006407087,0.000005722805,0.0002678641,0.001135604,0.000008057944,0.00178504],"genre_scores_gemma":[0.9964185,0.0009402763,0.0004301718,0.0004375511,0.000007135175,0.0002024234,0.000613814,0.000007560319,0.0009426632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9960207,"threshold_uncertainty_score":0.307856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4607497093530267,"score_gpt":0.6782927496245011,"score_spread":0.2175430402714744,"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."}}