{"id":"W4404337997","doi":"10.33423/jabe.v26i5.7356","title":"Non-Smoke Tobacco Consumption in India: A Cost-Benefit Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smoke; Consumption (sociology); Agricultural economics; Environmental health; Tobacco smoke; Environmental science; Business; Toxicology; Economics; Waste management; Medicine; Engineering; Biology; Sociology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003002036,0.0009808658,0.001176849,0.002620189,0.0004646159,0.003048306,0.001095073,0.0011178,0.006364363],"category_scores_gemma":[0.006074833,0.000628291,0.002984802,0.002853436,0.0007520166,0.00123219,0.001447915,0.001440179,0.0002841653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0069794,"about_ca_system_score_gemma":0.00354969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02153099,"about_ca_topic_score_gemma":0.01879871,"domain_scores_codex":[0.9968184,0.001961991,0.00009459906,0.0001252202,0.0005218896,0.0004778499],"domain_scores_gemma":[0.9944509,0.004378443,0.0003715266,0.0001861919,0.0004082967,0.000204716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005163347,0.001317672,0.06006625,0.002488744,0.00311454,0.001477238,0.0003350236,0.7642068,0.002644327,0.04867262,0.003524917,0.1069885],"study_design_scores_gemma":[0.001328557,0.01044139,0.1648132,0.001207597,0.012612,0.003086727,0.003203563,0.7367609,0.004206516,0.03919055,0.02274117,0.0004078408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049867,0.01222128,0.02100776,0.003683521,0.0001934573,0.001307239,0.00224477,0.0002121079,0.05414316],"genre_scores_gemma":[0.9927691,0.002720173,0.002007321,0.0001562132,0.00003878706,0.0001079719,0.0002610778,0.00001380662,0.001925549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02153099,"threshold_uncertainty_score":0.05063939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497859753693881,"score_gpt":0.2691417226001338,"score_spread":0.244163125063195,"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."}}