{"id":"W2915097488","doi":"10.3390/ijerph16050736","title":"Propagating Change: Using RE-FRAME to Scale and Sustain A Community-Based Childhood Obesity Prevention Initiative","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia; BC Children's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Childhood obesity; Capacity building; Stakeholder; Sustainability; Thematic analysis; Participatory action research; Community health; Descriptive statistics; Scope (computer science); Knowledge management; Scale (ratio); Citizen journalism; Public relations; Business; Qualitative research; Medicine; Political science; Geography; Sociology; Public health; Computer science; Nursing; Obesity; Social science","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":[0.04650066,0.001145636,0.0007055555,0.004328772,0.005642775,0.007193621,0.003231395,0.001714029,0.00224817],"category_scores_gemma":[0.04257396,0.0006304423,0.00106193,0.001882803,0.006575033,0.00981959,0.01422333,0.002651221,0.0004522913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01045186,"about_ca_system_score_gemma":0.02103233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009617197,"about_ca_topic_score_gemma":0.01570464,"domain_scores_codex":[0.9666558,0.02391952,0.0007995326,0.002525958,0.003698796,0.002400443],"domain_scores_gemma":[0.9750083,0.01402383,0.001688967,0.004402777,0.002847598,0.002028493],"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":[0.0002729585,0.002407068,0.0294274,0.0007780682,0.0001161879,0.0006398463,0.4860572,0.002734316,0.006131998,0.03390653,0.004872201,0.4326563],"study_design_scores_gemma":[0.0004512624,0.005868894,0.03760645,0.002732954,0.0004053023,0.000756267,0.6732286,0.01933048,0.01581213,0.08062799,0.1627709,0.0004087534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7640702,0.000471964,0.1741836,0.00981097,0.0002093399,0.008333104,0.0003146628,0.0008468619,0.04175932],"genre_scores_gemma":[0.8198496,0.0003304425,0.1713794,0.0007527233,0.00003507778,0.004223615,0.0003580385,0.0001523691,0.002918839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04650066,"threshold_uncertainty_score":0.245922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6512757464914298,"score_gpt":0.6483048981860503,"score_spread":0.002970848305379525,"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."}}