{"id":"W4243477633","doi":"10.12688/f1000research.11418.1","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":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Counterfeit; Open peer review; The Internet; Public health; Internet privacy; Business; Plant biology; Medicine; Political science; Advertising; Biology; Law; Computer science; Pathology","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008871248,0.0003435878,0.0007015984,0.0007676179,0.0007022918,0.001202516,0.001325568,0.0003413602,0.00001659189],"category_scores_gemma":[0.001323291,0.0002665452,0.00008723804,0.0003762645,0.0004963737,0.0008199972,0.002201207,0.00145563,0.00001039611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002633797,"about_ca_system_score_gemma":0.0007315644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1804291,"about_ca_topic_score_gemma":0.006965395,"domain_scores_codex":[0.9957659,0.0003770145,0.001077335,0.0006714702,0.0005857187,0.001522571],"domain_scores_gemma":[0.9976268,0.0001144435,0.001069519,0.0008360066,0.0002007253,0.000152468],"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":[0.0007087054,0.001057375,0.1274095,0.02040388,0.0004817478,0.00002775809,0.02628029,0.002489958,0.00007989399,0.3556403,0.1602035,0.3052171],"study_design_scores_gemma":[0.001507428,0.0003078299,0.08837241,0.001760959,0.00002198381,0.00001392353,0.01259931,0.1198415,0.0000029363,0.0154848,0.7592951,0.0007918005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5983663,0.001843905,0.0002317264,0.3784354,0.0008446068,0.003618967,0.00006448559,0.0001757577,0.01641887],"genre_scores_gemma":[0.9943751,0.0006699522,0.00004892108,0.00346712,0.0009096173,0.0001772101,0.0001360283,0.00005687899,0.0001592347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5990916,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2900515611883475,"score_gpt":0.4257798774089909,"score_spread":0.1357283162206434,"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."}}