{"id":"W2043777716","doi":"10.3138/cjpe.29.1.36","title":"Supporting Knowledge Translation Through Evaluation: Evaluator as Knowledge Broker","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University","funders":"","keywords":"Knowledge translation; Context (archaeology); Knowledge management; Computer science; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.2860007,0.001044451,0.001779371,0.004360806,0.00657123,0.01763914,0.00295219,0.003316939,0.01002268],"category_scores_gemma":[0.3300284,0.000970153,0.000917877,0.003659431,0.006513211,0.01880264,0.01475577,0.003256354,0.002548755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009213918,"about_ca_system_score_gemma":0.03893637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00306716,"about_ca_topic_score_gemma":0.003035498,"domain_scores_codex":[0.5438042,0.4126205,0.01206977,0.006616288,0.01932669,0.005562517],"domain_scores_gemma":[0.5103707,0.3702594,0.02440257,0.03401584,0.04793186,0.01301959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002140456,0.00379795,0.0276984,0.003698169,0.0002642255,0.001717361,0.137223,0.004032015,0.007633,0.04863327,0.0187159,0.7444463],"study_design_scores_gemma":[0.003551085,0.008277378,0.03100457,0.01723344,0.00139716,0.002193218,0.2544269,0.09716104,0.03975472,0.1455947,0.3983962,0.001009545],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.245385,0.00299615,0.5178627,0.05026895,0.001185859,0.01354368,0.0002598553,0.002851227,0.1656467],"genre_scores_gemma":[0.7825405,0.0008122145,0.2046748,0.001929347,0.000206484,0.003806237,0.0001347103,0.0002297484,0.005666079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2860007,"threshold_uncertainty_score":0.8804883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4946854783565933,"score_gpt":0.5959329823406669,"score_spread":0.1012475039840736,"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."}}