{"id":"W2094792361","doi":"10.1503/cmaj.070562","title":"Contraband cigarettes becoming a national norm","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commit; Cash; Sitting; Computer science; Computer security; Medicine; Business; Pathology; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00702774,0.0001297779,0.0003037633,0.0004649422,0.006259759,0.007793074,0.0009326857,0.004438449,0.01176953],"category_scores_gemma":[0.01588835,0.0001847673,0.0002738822,0.0006341944,0.006574846,0.003585413,0.003571856,0.006388293,0.001131396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006541586,"about_ca_system_score_gemma":0.0146258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09999765,"about_ca_topic_score_gemma":0.1296913,"domain_scores_codex":[0.9909123,0.002256057,0.0003708293,0.001640679,0.003526453,0.001293725],"domain_scores_gemma":[0.990806,0.001568666,0.0007531492,0.001079705,0.002735074,0.003057474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003813346,0.0001047589,0.01552086,0.00006351188,0.00001741052,0.0003355775,0.009468017,0.0001152167,0.0006765632,0.6981033,0.1965938,0.07896298],"study_design_scores_gemma":[0.00001042292,0.00003845229,0.01620933,0.0002543453,0.0000138447,0.0003345347,0.008972735,0.0002891418,0.0004916404,0.0397317,0.9336075,0.00004634862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06953508,0.003370216,0.002168113,0.2946956,0.003567977,0.00004209839,0.0002172768,0.00008433271,0.6263192],"genre_scores_gemma":[0.7178386,0.002362538,0.002334286,0.1333191,0.0008387305,0.00006367993,0.0003683356,0.0001155367,0.1427591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9000024,"threshold_uncertainty_score":0.1988312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292989096859552,"score_gpt":0.2848041350917853,"score_spread":0.2718742441231898,"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."}}