{"id":"W3034603614","doi":"10.3390/ijerph17124277","title":"Factors Associated with Cultivation of Tobacco in Bangladesh: A Multilevel Modelling Approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fogarty International Center; McGill University","keywords":"Cultivation of tobacco; Livelihood; Agriculture; Context (archaeology); Business; Stratified sampling; Tobacco control; Tobacco industry; Government (linguistics); Logistic regression; Tobacco use; Environmental health; Public health; Geography; Medicine; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053547,0.0001058258,0.0001901465,0.0001371251,0.00005899716,0.00003211545,0.0002916959,0.00005552141,0.0003656038],"category_scores_gemma":[0.0001788416,0.00007952216,0.00003329221,0.0001641044,0.0002646311,0.000543165,0.0001410033,0.0003722603,0.000004340497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005564266,"about_ca_system_score_gemma":0.00005550638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001283017,"about_ca_topic_score_gemma":0.00002057111,"domain_scores_codex":[0.9976912,0.0001911498,0.0004094419,0.0001737788,0.001211982,0.0003224789],"domain_scores_gemma":[0.9990917,0.0001634108,0.000263995,0.0000613431,0.00001361473,0.0004059682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002181448,0.001839522,0.8983792,0.0000112736,0.0001108799,0.00001700131,0.005368076,0.07172617,0.002200371,0.0001493228,0.0002602262,0.01971978],"study_design_scores_gemma":[0.001670621,0.001045523,0.9814461,0.00006622984,0.000002256664,0.000007551544,0.002282349,0.01142912,0.0003599347,0.0001746574,0.00137511,0.0001405256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939147,0.00007319049,0.003226887,0.002100035,0.00001915045,0.0001039035,0.00002648339,0.000002600055,0.0005331116],"genre_scores_gemma":[0.9988096,0.0002241003,0.0006383205,0.0002121465,0.00003040154,0.000002033206,0.00003206881,0.00001061276,0.00004072983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0830669,"threshold_uncertainty_score":0.4003105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2263136297982213,"score_gpt":0.3459611349800812,"score_spread":0.1196475051818599,"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."}}