{"id":"W6980290971","doi":"","title":"The black box of large-scale dissemination: Building an evidence base documenting the complexity of national movement behaviour guideline dissemination to inform research, practice, and policy","year":2023,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Guideline; Dissemination; Information Dissemination; Process (computing); Population; Best practice; Knowledge base; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.5098389,0.001506615,0.005457841,0.00798026,0.006410861,0.02905271,0.006191182,0.007723908,0.00800466],"category_scores_gemma":[0.6832183,0.003199778,0.005083706,0.009542614,0.01312073,0.04196969,0.01464961,0.01486264,0.001606558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02376272,"about_ca_system_score_gemma":0.1375859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02455434,"about_ca_topic_score_gemma":0.04164048,"domain_scores_codex":[0.4568582,0.4257141,0.04039833,0.01066109,0.06240855,0.003959753],"domain_scores_gemma":[0.1181909,0.7793652,0.03498249,0.03116079,0.03238829,0.003912325],"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":[0.0005416657,0.001189719,0.02154181,0.1099176,0.003505967,0.0001446815,0.01551285,0.002136212,0.0005794921,0.05096357,0.01908388,0.7748826],"study_design_scores_gemma":[0.001291643,0.00403887,0.04471098,0.6786273,0.006355244,0.0003121531,0.02623131,0.00648046,0.002479054,0.08076314,0.1480801,0.0006297689],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05574574,0.3715971,0.08056993,0.4114019,0.007079194,0.02974699,0.001446849,0.0006190768,0.04179329],"genre_scores_gemma":[0.4474798,0.1979423,0.2809403,0.04557278,0.002584868,0.02232302,0.0009889925,0.0003207459,0.001847131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5098389,"threshold_uncertainty_score":0.6044559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2012960629332964,"score_gpt":0.5578669332727775,"score_spread":0.3565708703394811,"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."}}