{"id":"W2950675990","doi":"10.1136/bmj.l4056","title":"State versus private ownership of tobacco companies","year":2019,"lang":"en","type":"letter","venue":"BMJ","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"State (computer science); Tobacco industry; Business; State ownership; Computer science; World Wide Web; Medicine; Finance; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005343101,0.0002411983,0.0007987866,0.001117445,0.004207821,0.005235408,0.00116101,0.0479886,0.01219085],"category_scores_gemma":[0.03371559,0.000543276,0.0006579865,0.001166976,0.00325424,0.003192262,0.001850098,0.01928166,0.002213218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006400737,"about_ca_system_score_gemma":0.006976902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05429763,"about_ca_topic_score_gemma":0.1403473,"domain_scores_codex":[0.9964101,0.001270135,0.0002742055,0.0002739567,0.000899793,0.0008718655],"domain_scores_gemma":[0.9676358,0.02680715,0.001190897,0.0004759913,0.001941009,0.001949183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00032676,0.00007308892,0.00611661,0.00009719755,0.00004613263,0.002008838,0.0008337722,0.0001535063,0.0003267698,0.06620202,0.9102661,0.01354917],"study_design_scores_gemma":[0.0004100479,0.0001107781,0.03542978,0.001018763,0.0001211189,0.001372623,0.003125975,0.002498877,0.0008129982,0.1108605,0.8440653,0.000173236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005544111,0.001864061,0.0001129524,0.9671897,0.002100999,0.00001595011,0.0002896706,0.000008644117,0.02287387],"genre_scores_gemma":[0.09183943,0.002911599,0.0002069896,0.7976189,0.0265416,0.0000863083,0.0001712195,0.0000422561,0.08058181],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05429763,"threshold_uncertainty_score":0.1079631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06823581370783913,"score_gpt":0.2554845158997743,"score_spread":0.1872487021919352,"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."}}