{"id":"W2104523262","doi":"10.1186/1748-5908-1-20","title":"Knowledge transfer & exchange through social networks: building foundations for a community of practice within tobacco control","year":2006,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; Provincial Health Services Authority; Public Health Ontario; University of Toronto","funders":"National Cancer Institute; Health Canada; Battelle","keywords":"Tobacco control; Health services research; Social network (sociolinguistics); Baseline (sea); Medicine; Health administration; Social network analysis; Knowledge transfer; Public health; Medical education; Survey data collection; Population health; Population; Public relations; Knowledge management; Nursing; Social media; Environmental health; Computer science; World Wide Web; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01389985,0.0001836224,0.0003120138,0.0002784198,0.006031436,0.00007492858,0.0006449254,0.00008319702,0.0004113612],"category_scores_gemma":[0.002246129,0.0001847418,0.00007597299,0.002027277,0.0006574733,0.002204377,0.000108258,0.0004062997,0.000033676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000563631,"about_ca_system_score_gemma":0.002023886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00606061,"about_ca_topic_score_gemma":0.0140354,"domain_scores_codex":[0.9943535,0.001850649,0.001674542,0.0003724879,0.0007430514,0.001005756],"domain_scores_gemma":[0.9897649,0.007133251,0.000764598,0.0003695551,0.001832306,0.0001353815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003590365,0.0005421241,0.03290856,0.0006384869,0.00005978651,4.451809e-7,0.4030078,0.0007543843,0.03487831,0.4610052,0.05183836,0.01400754],"study_design_scores_gemma":[0.01946843,0.0005634216,0.117967,0.0001708354,0.0002421492,0.00000807605,0.1460936,0.001825472,0.002926071,0.01401449,0.6956772,0.001043263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2951773,0.00002035511,0.6886274,0.007511816,0.0008456016,0.003493524,0.0004368201,0.00009096039,0.003796225],"genre_scores_gemma":[0.9694015,0.000005640925,0.02184992,0.007042238,0.0004213399,0.001061075,0.00006247986,0.00002060083,0.0001352525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6742241,"threshold_uncertainty_score":0.9952626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.660852415615325,"score_gpt":0.7111401701004324,"score_spread":0.05028775448510736,"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."}}