{"id":"W2899911345","doi":"","title":"Are Graphic Warning Labels Stopping Millions of Smokers? A Comment on Huang, Chaloupka, and Fong","year":2018,"lang":"en","type":"article","venue":"Econ journal watch","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spurious relationship; Psychology; Population; Warning system; Social psychology; Medicine; Environmental health; Computer science; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01018559,0.00135736,0.001901245,0.001391756,0.008496745,0.004713537,0.007921265,0.0473546,0.00776487],"category_scores_gemma":[0.04741958,0.0008373001,0.001860554,0.002218232,0.01140634,0.006211813,0.001613434,0.06031304,0.005562867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01598101,"about_ca_system_score_gemma":0.02775035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5295153,"about_ca_topic_score_gemma":0.5386738,"domain_scores_codex":[0.9922872,0.001684627,0.0006332134,0.001321754,0.00327669,0.0007965676],"domain_scores_gemma":[0.9622168,0.02162234,0.001245972,0.001122069,0.01100148,0.002791371],"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":[0.00001847721,0.000009416587,0.0002786093,0.0000470341,0.000007143158,0.00007631259,0.000300881,0.0000278078,0.00003676838,0.001713026,0.9952224,0.002262199],"study_design_scores_gemma":[0.00006205972,0.00004281531,0.0036723,0.0007515033,0.00005166226,0.0003216095,0.002432316,0.0002759382,0.000345084,0.004332324,0.987545,0.0001674325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002164707,0.00234149,0.00005303633,0.9876388,0.008604321,0.000008093744,0.0001379258,0.00002590883,0.0009740089],"genre_scores_gemma":[0.00206228,0.001449425,0.0001389445,0.9861509,0.00689696,0.00002445046,0.00003053042,0.0000259451,0.003220586],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5295153,"threshold_uncertainty_score":0.9465109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04975720014547061,"score_gpt":0.3167850673420708,"score_spread":0.2670278671966002,"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."}}