{"id":"W2797742562","doi":"10.1136/tobaccocontrol-2018-054277","title":"Who is the target? Package health warnings and the role of market segmentation","year":2018,"lang":"en","type":"letter","venue":"Tobacco Control","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Guelph","funders":"","keywords":"Tobacco control; Business; Marketing; Market segmentation; Advertising; Control (management); Population; Convention; Process (computing); Target market; Public relations; Public health; Medicine; Computer science; Political science; Environmental health; Law","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":[0.0008862147,0.0002363916,0.000685235,0.00005665108,0.0001728482,0.00004568439,0.0001692155,0.0001945876,0.0006345971],"category_scores_gemma":[0.0000907313,0.000122914,0.000167715,0.00008045325,0.0002900828,0.00003886253,0.00005321939,0.0007758417,0.00001760055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004299089,"about_ca_system_score_gemma":0.0001264769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005052688,"about_ca_topic_score_gemma":0.00002276517,"domain_scores_codex":[0.9983842,0.0002409583,0.0004256917,0.0002792894,0.0003592417,0.0003106161],"domain_scores_gemma":[0.9984397,0.0004595427,0.0004231755,0.0004912696,0.0001350008,0.00005126546],"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":[0.0005849744,0.00001781579,0.01351584,0.0002312639,0.001127639,0.000007244552,0.002782924,7.821916e-8,0.000095251,0.00003298976,0.9570686,0.02453541],"study_design_scores_gemma":[0.006368013,0.0002566489,0.003522198,0.0003724387,0.001106771,0.00003110173,0.0002477526,0.0004536691,0.0000763811,0.0002830272,0.9870984,0.0001835819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002175221,0.03386795,0.0001525152,0.9592611,0.0001758909,0.001739499,0.0001200448,0.00003198037,0.002475838],"genre_scores_gemma":[0.1277316,0.0007606051,0.0002079604,0.8662568,0.002022135,0.0000869609,0.0000709513,0.00005671224,0.002806315],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1255563,"threshold_uncertainty_score":0.6948394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007266538693226937,"score_gpt":0.2483600836677305,"score_spread":0.2410935449745036,"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."}}