{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.07480533,0.0003111415,0.0005323099,0.0009844174,0.0005857131,0.0007604281,0.0008366985,0.0002239572,0.01259638],"category_scores_gemma":[0.01430965,0.0002569336,0.0003552363,0.001689271,0.0001757274,0.001847452,0.00002174334,0.0004215061,0.001268188],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009279299,"about_ca_system_score_gemma":0.01524301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002630216,"about_ca_topic_score_gemma":0.01449681,"domain_scores_codex":[0.9879287,0.003570183,0.002433014,0.0005339553,0.004865519,0.0006685862],"domain_scores_gemma":[0.9837446,0.001166799,0.001668269,0.0006473886,0.01200564,0.0007672675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002283637,0.0001016486,0.00405141,0.00001140184,0.00004587492,0.000001130871,0.007287828,0.00201529,0.00008327828,0.001259857,0.007003614,0.9781159],"study_design_scores_gemma":[0.003028983,0.001147647,0.01314982,0.0001174775,0.000453902,0.00008029847,0.002161451,0.4814937,0.0003197775,0.05012747,0.447538,0.0003815079],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6728983,0.01030731,0.0193339,0.007066739,0.008343509,0.007601594,0.00001829282,0.00009115905,0.2743392],"genre_scores_gemma":[0.9921967,0.00001502023,0.005625112,0.0002702803,0.0009463542,0.0002165563,0.00004819002,0.00003316428,0.0006486035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9777343,"threshold_uncertainty_score":0.9999883,"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."}}