{"id":"W2965585416","doi":"10.5539/jpl.v12n3p40","title":"Criminological Characteristics of Drug Addiction in the Republic of Kazakhstan: Basic Concepts, Signs and General Approaches to Their Assessment","year":2019,"lang":"en","type":"article","venue":"Journal of Politics and Law","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenomenon; Addiction; Vocabulary; Consistency (knowledge bases); Social phenomenon; Relevance (law); Field (mathematics); Psychology; Sociology; Epistemology; Political science; Social science; Computer science; Law; Linguistics; Psychiatry; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005031762,0.00007259515,0.0002342286,0.00005476978,0.00004058315,0.00004124623,0.0001887324,0.0000254407,0.000005674967],"category_scores_gemma":[0.00001377955,0.00004230784,0.00004036355,0.00006447452,0.00008999977,0.0001286347,0.0001057402,0.0001123168,1.20812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001702869,"about_ca_system_score_gemma":0.00003220756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001147707,"about_ca_topic_score_gemma":0.00001081127,"domain_scores_codex":[0.9991769,0.00007587833,0.0003605192,0.0000863591,0.0001724302,0.0001278995],"domain_scores_gemma":[0.9994443,0.0001238502,0.000185884,0.0001322779,0.00007027008,0.00004341067],"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":[0.000005764707,0.00006982526,0.005094037,0.00002447277,0.00002829036,0.000002016908,0.002889327,0.00000820809,0.0004213908,0.9894208,0.0001499016,0.001886001],"study_design_scores_gemma":[0.001615535,0.002568676,0.9490118,0.000191735,0.00008714532,0.0001082822,0.004958513,0.003912467,0.003145411,0.01387386,0.02021571,0.0003108768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945661,0.0001746746,0.001311752,0.001102746,0.00009344995,0.00008849692,0.000007850562,0.000001911097,0.002652977],"genre_scores_gemma":[0.9983524,0.00008327651,0.001018234,0.0004485151,0.00005239479,0.000001076707,7.651226e-7,0.000002026522,0.0000412807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9755469,"threshold_uncertainty_score":0.1725264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0810016699404944,"score_gpt":0.2865846168151978,"score_spread":0.2055829468747034,"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."}}