{"id":"W2605661668","doi":"10.12688/f1000research.11418.2","title":"The internet trade of counterfeit spirits in Russia – an emerging problem undermining alcohol, public health and youth protection policies?","year":2017,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Counterfeit; Harm; The Internet; Business; Consumption (sociology); Advertising; Public health; Alcohol consumption; Commerce; Environmental health; Law; Medicine; Alcohol; Political science; Social science; Sociology; Biology; Computer science","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":[0.001989962,0.0002785946,0.0005936551,0.0005003194,0.00026726,0.0002551129,0.0004512736,0.0002093087,0.00001496803],"category_scores_gemma":[0.0002191929,0.000192656,0.0000884116,0.0001887422,0.000343322,0.0002014235,0.0003881516,0.001070386,0.000002986107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004170432,"about_ca_system_score_gemma":0.001034003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922043,"about_ca_topic_score_gemma":0.002859508,"domain_scores_codex":[0.9972205,0.0002917261,0.0005490657,0.0005098292,0.000717825,0.0007110867],"domain_scores_gemma":[0.9983355,0.00008666171,0.0003535144,0.0008210749,0.00009536411,0.0003078843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00110125,0.0006641947,0.6829375,0.001703819,0.000572436,0.00006732657,0.1599429,0.0000180452,0.0002945947,0.001949679,0.0005905036,0.1501578],"study_design_scores_gemma":[0.01368518,0.004152354,0.8755143,0.01105106,0.000176528,0.0001499861,0.07529485,0.008735511,0.001676052,0.002844824,0.005551705,0.001167696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759857,0.003333105,0.00003532183,0.01652755,0.0001409188,0.002478237,0.00001528747,0.00006701545,0.001416875],"genre_scores_gemma":[0.9965613,0.001875218,0.0001153264,0.00009909456,0.0001381692,0.0001817207,0.0001115997,0.00005487096,0.0008626342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1925768,"threshold_uncertainty_score":0.7856283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2950524349353281,"score_gpt":0.4351573897701779,"score_spread":0.1401049548348498,"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."}}