{"id":"W2133783179","doi":"10.1177/1356389008101967","title":"Using Logic Analysis to Evaluate Knowledge Transfer Initiatives","year":2009,"lang":"en","type":"article","venue":"Evaluation","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; U.S. Public Health Service; Canadian Health Services Research Foundation","keywords":"Popularity; Knowledge transfer; Knowledge management; Process (computing); Politics; Order (exchange); Technology transfer; Logic model; Institutional logic; Management science; Computer science; Political science; Sociology; Engineering; Business; Social science; Public administration","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":[],"consensus_categories":[],"category_scores_codex":[0.1016558,0.00132294,0.001198162,0.01243672,0.001830928,0.005547573,0.001706615,0.00147434,0.004714219],"category_scores_gemma":[0.2198927,0.0003555289,0.001866273,0.008913301,0.004063749,0.007347576,0.003772384,0.001366074,0.0003739322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01021831,"about_ca_system_score_gemma":0.005409976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207971,"about_ca_topic_score_gemma":0.001863334,"domain_scores_codex":[0.8804599,0.08506446,0.007381971,0.002627325,0.02271473,0.00175164],"domain_scores_gemma":[0.5857716,0.3682085,0.01658104,0.006600902,0.02161829,0.001219607],"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":[0.00942169,0.003693254,0.1224038,0.007323072,0.002515033,0.0005430307,0.02075306,0.07073452,0.01076304,0.1762448,0.003492893,0.5721118],"study_design_scores_gemma":[0.002891736,0.01820477,0.07977485,0.00240751,0.002940006,0.0004954329,0.03410289,0.4634137,0.05905791,0.3166108,0.01939603,0.000704359],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7848659,0.0009326953,0.1671298,0.00155819,0.00012229,0.004199888,0.001088227,0.0003616585,0.03974142],"genre_scores_gemma":[0.853883,0.000308986,0.1393417,0.0001937709,0.0000315053,0.004674349,0.0006037332,0.00005021015,0.000912535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1016558,"threshold_uncertainty_score":0.5376139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8591549218648961,"score_gpt":0.7677565598744323,"score_spread":0.0913983619904638,"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."}}