{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01453251,0.0002915421,0.0003895249,0.0009193202,0.0017681,0.005834136,0.0009504161,0.005119042,0.008472519],"category_scores_gemma":[0.04296778,0.000299863,0.0002574496,0.0008577454,0.008244301,0.006291118,0.003123151,0.004483002,0.001176723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004789861,"about_ca_system_score_gemma":0.003880231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0109005,"about_ca_topic_score_gemma":0.008040087,"domain_scores_codex":[0.9912612,0.005203829,0.0002230086,0.0006197278,0.002070315,0.0006219846],"domain_scores_gemma":[0.9684458,0.02208603,0.004149138,0.0006067043,0.002785301,0.001926984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000304436,0.0003259186,0.02507002,0.000844239,0.00005656092,0.0007196938,0.04268209,0.0003831064,0.0009430025,0.5452749,0.09849554,0.2849005],"study_design_scores_gemma":[0.00009106075,0.0004264207,0.05012497,0.003948346,0.00009387574,0.001373323,0.02569436,0.002998924,0.001381619,0.4501278,0.4635767,0.0001625791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1005524,0.03250466,0.01188101,0.6791407,0.002307583,0.0001932401,0.0002823544,0.0001289108,0.1730092],"genre_scores_gemma":[0.8876038,0.01423652,0.005272944,0.07443655,0.002550863,0.0001749714,0.0001336689,0.0001168316,0.01547382],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01453251,"threshold_uncertainty_score":0.07685614,"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."}}