{"id":"W2043518229","doi":"10.1002/hec.1336","title":"Heterogeneity in preferences for smoking cessation","year":2008,"lang":"en","type":"article","venue":"Health Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada","funders":"Health Canada","keywords":"Smoking cessation; Preference; Tobacco control; Health economics; Mixed logit; Medicine; Logistic regression; Cornerstone; Public health; Environmental health; Psychology; Economics; Geography; Microeconomics; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003664647,0.0001743845,0.0005056732,0.0008901148,0.0004186075,0.001483029,0.000304408,0.0004100583,0.006412243],"category_scores_gemma":[0.01396371,0.0001563579,0.0006471722,0.000906026,0.0006359897,0.000479239,0.0004630168,0.000602728,0.0003192067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048239,"about_ca_system_score_gemma":0.000471889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02194409,"about_ca_topic_score_gemma":0.02925579,"domain_scores_codex":[0.9975509,0.001123256,0.0001602126,0.0002411821,0.0006990183,0.0002254804],"domain_scores_gemma":[0.9922822,0.005091446,0.001091531,0.0008528819,0.0003568614,0.0003249976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007074212,0.0004064864,0.9196773,0.000109162,0.00122532,0.0004852555,0.002622014,0.005073288,0.001747696,0.01365857,0.001823148,0.05246449],"study_design_scores_gemma":[0.00007723814,0.0001672944,0.961513,0.00003927232,0.0001516837,0.0005491508,0.002882869,0.0100201,0.0002582161,0.02089156,0.003386876,0.00006274119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886336,0.0002773921,0.002982616,0.0003056745,0.000006058563,0.00004886008,0.00055954,0.000008972705,0.007177356],"genre_scores_gemma":[0.9989323,0.00006952036,0.0002685695,0.00004936445,0.000003481176,0.000008464604,0.0002464826,0.000001840282,0.0004200102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02194409,"threshold_uncertainty_score":0.04363275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3124532767392069,"score_gpt":0.2832286564699108,"score_spread":0.02922462026929606,"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."}}