{"id":"W3002635518","doi":"10.3390/ijerph17030723","title":"“All Weather Friends”: How China Transformed Zimbabwe’s Tobacco Sector","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"International Development and Aid","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Simon Fraser University","keywords":"Tobacco industry; Cultivation of tobacco; China; Tobacco control; Livelihood; Context (archaeology); Globalization; Business; Public health; Economic growth; Politics; Agriculture; Political science; Economics; Market economy; Geography","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":[0.00109291,0.000281674,0.0001431565,0.001068789,0.006805362,0.004156607,0.0004715442,0.0007111233,0.003463513],"category_scores_gemma":[0.001620557,0.0002029008,0.0001723423,0.001757894,0.004154375,0.003135904,0.003076702,0.001444624,0.0001561283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01106699,"about_ca_system_score_gemma":0.008582852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2279726,"about_ca_topic_score_gemma":0.317611,"domain_scores_codex":[0.9992287,0.0002041488,0.00001950473,0.00006372962,0.00008605472,0.0003979191],"domain_scores_gemma":[0.9994868,0.0001178908,0.000105941,0.00003679466,0.00007924986,0.0001733248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001076345,0.00006947144,0.1279688,0.0003099715,0.00006479397,0.005162502,0.6551008,0.0004556946,0.006740178,0.1069834,0.01052109,0.08651569],"study_design_scores_gemma":[0.00002113814,0.00009296294,0.2883334,0.0004393244,0.00007297211,0.0004255445,0.3869224,0.001192591,0.001879099,0.00743535,0.3131107,0.0000746136],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562322,0.002120083,0.0004040966,0.01584921,0.00007124183,0.0000477466,0.00009117158,0.00001118383,0.02517308],"genre_scores_gemma":[0.9919865,0.001138554,0.0001230245,0.0009210092,0.00001393005,0.00001491694,0.00003969582,0.00000612745,0.005756303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2279726,"threshold_uncertainty_score":0.4532912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013096633790494,"score_gpt":0.3824897202209347,"score_spread":0.2811800568418854,"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."}}