{"id":"W2161611987","doi":"10.1016/j.amepre.2008.05.014","title":"Systems Thinking to Improve the Public's Health","year":2008,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":411,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Coastal Health; Vancouver Coastal Health Research Institute","funders":"National Cancer Institute","keywords":"Rubric; Public health; Systems thinking; Systems science; Set (abstract data type); Conceptual framework; Management science; Engineering ethics; Population health; Foundation (evidence); Translational science; Translational research; Public relations; Political science; Sociology; Knowledge management; Computer science; Medicine; Engineering; Social science; Artificial intelligence; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.01240166,0.0001030267,0.0004902784,0.0004097387,0.0004446838,0.00008974648,0.001048046,0.00001160403,0.0001032599],"category_scores_gemma":[0.003307223,0.00004646415,0.00009443908,0.001865709,0.0005715078,0.0003368564,0.0001514679,0.0002891971,0.00004863987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453756,"about_ca_system_score_gemma":0.0006557212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006598435,"about_ca_topic_score_gemma":0.00003618043,"domain_scores_codex":[0.9945919,0.001306518,0.0009818583,0.0001892961,0.002607881,0.0003225682],"domain_scores_gemma":[0.9952378,0.000934911,0.001236694,0.0003412409,0.001858837,0.0003905311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000562893,0.0002300997,0.01040878,0.00001052964,0.0002696286,0.0002713903,0.07402992,0.0001545048,0.001568542,0.006347461,0.4702631,0.4358832],"study_design_scores_gemma":[0.002727536,0.04668395,0.08984307,0.0007064724,0.00004061214,0.002946278,0.4458146,0.001115231,0.000189798,0.01257227,0.3969028,0.000457359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5308908,0.001511829,0.1503374,0.3112077,0.002400407,0.0006268764,0.000008576313,0.00001157728,0.003004802],"genre_scores_gemma":[0.9951474,0.00004665581,0.0003633432,0.00121574,0.0009534345,0.00000685625,5.183797e-7,0.000006903612,0.002259155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4642566,"threshold_uncertainty_score":0.4298193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115389723270157,"score_gpt":0.4459588353217285,"score_spread":0.3344198629947128,"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."}}