{"id":"W3111667169","doi":"10.6000/1929-4409.2020.09.183","title":"Legal Consequences of Mock Transactions","year":2020,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Legal Studies and Reforms","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database transaction; Order (exchange); Institution; Financial institution; Business; Law and economics; Work (physics); Law; Computer science; Political science; Sociology; Finance; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006887749,0.0003817748,0.0004114417,0.002444089,0.004100597,0.00590703,0.001210141,0.002899032,0.008422697],"category_scores_gemma":[0.0639836,0.0002962846,0.0004275536,0.001373051,0.009231084,0.005257684,0.004063369,0.002534665,0.0007682842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002288806,"about_ca_system_score_gemma":0.002347176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00166358,"about_ca_topic_score_gemma":0.001763432,"domain_scores_codex":[0.9835345,0.007792204,0.001088684,0.001502869,0.005189702,0.0008921431],"domain_scores_gemma":[0.9555242,0.02288029,0.007468988,0.007487031,0.005386679,0.0012528],"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":[0.0001819492,0.0001429512,0.0176919,0.0004356569,0.00005766988,0.004577842,0.02922438,0.001281571,0.004418213,0.8865181,0.004210974,0.05125887],"study_design_scores_gemma":[0.00006683802,0.0004007254,0.0412497,0.001186148,0.0001574789,0.009821912,0.0374135,0.00767387,0.00906089,0.7346451,0.1581183,0.00020553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6751016,0.002503019,0.0586151,0.006917546,0.0006576408,0.0005489067,0.0003582243,0.0002867659,0.2550112],"genre_scores_gemma":[0.9867281,0.0003153082,0.005432705,0.0003577707,0.00006268101,0.00007772589,0.0000625432,0.00002436177,0.006938702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008422697,"threshold_uncertainty_score":0.03642631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0789432748344112,"score_gpt":0.3517218106061435,"score_spread":0.2727785357717323,"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."}}