{"id":"W1720906279","doi":"10.3233/wor-2012-1423","title":"Getting the message across: Principles for developing brief-Knowledge Transfer (b-KT) communiqués","year":2012,"lang":"en","type":"article","venue":"Work","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Knowledge transfer; Knowledge management; Knowledge translation; Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008028668,0.00015226,0.0002166524,0.00004049522,0.004081121,0.00002746652,0.0005493324,0.0001194367,0.0001650023],"category_scores_gemma":[0.00135531,0.0001089519,0.00006109234,0.000528688,0.0001313657,0.0002589132,0.0002031451,0.0005242238,0.0002973817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002552123,"about_ca_system_score_gemma":0.000565613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007908893,"about_ca_topic_score_gemma":0.0005416725,"domain_scores_codex":[0.9962068,0.001096684,0.0008093534,0.0001816845,0.0002161634,0.001489323],"domain_scores_gemma":[0.9925369,0.006470893,0.0001485899,0.0004781052,0.0001647998,0.0002007265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000525572,0.00004753042,0.1406554,0.0007169895,0.00003306264,2.644769e-7,0.7202988,0.000004461484,0.0002726667,0.06755221,0.0480078,0.02235822],"study_design_scores_gemma":[0.0005384675,0.00001022552,0.1077048,0.0002334109,0.000007034666,6.894586e-7,0.01278719,0.00001867811,0.0001851645,0.000165398,0.8781946,0.0001543781],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859912,0.0004911721,0.07128333,0.04519915,0.002101616,0.004013957,0.00009527536,0.0002895877,0.01661391],"genre_scores_gemma":[0.9605705,0.00002340428,0.007910562,0.02692029,0.0007810197,0.001073768,0.000009615153,0.00003796824,0.002672926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8301867,"threshold_uncertainty_score":0.9972154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6943062660462269,"score_gpt":0.6639626401320682,"score_spread":0.03034362591415873,"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."}}