{"id":"W2128473868","doi":"10.1186/s13012-015-0304-3","title":"Developing educational competencies for dissemination and implementation research training programs: an exploratory analysis using card sorts","year":2015,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health; Institute of Clinical and Translational Sciences; Washington University in St. Louis","keywords":"Card sorting; Medical education; Curriculum; Medicine; Categorization; Knowledge translation; Exploratory research; Knowledge management; Psychology; Computer science; Pedagogy; Management","routes":{"ca_aff":true,"ca_fund":false,"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":[],"category_scores_codex":[0.04901013,0.00100371,0.0008698941,0.01060513,0.001980607,0.004018222,0.001741997,0.0008356367,0.005425178],"category_scores_gemma":[0.1182036,0.0006394769,0.001474902,0.008828087,0.002876091,0.002789601,0.004521498,0.001594286,0.0006753094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00430596,"about_ca_system_score_gemma":0.01343703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004482261,"about_ca_topic_score_gemma":0.003642375,"domain_scores_codex":[0.9702653,0.01647584,0.003554436,0.001352679,0.006688224,0.001663487],"domain_scores_gemma":[0.8566595,0.1105778,0.009038699,0.007952805,0.01413985,0.001631314],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007808693,0.0016718,0.4564188,0.002486415,0.0001839483,0.0009022721,0.1399435,0.003649466,0.004036964,0.02060137,0.006569443,0.3627552],"study_design_scores_gemma":[0.0003338668,0.001843338,0.6236606,0.001700115,0.0002512379,0.0007546123,0.2918765,0.02166783,0.01124258,0.01051657,0.0359192,0.0002335119],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942941,0.0001279848,0.03332498,0.0004653643,0.00002914277,0.01353463,0.002200629,0.0001551,0.007221302],"genre_scores_gemma":[0.8473842,0.0002182195,0.129403,0.0001348137,0.00001405138,0.01936266,0.001851315,0.0000722308,0.001559563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9509898,"threshold_uncertainty_score":0.2591934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9359569438334602,"score_gpt":0.802250804874736,"score_spread":0.1337061389587242,"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."}}