{"id":"W4321348100","doi":"10.5281/zenodo.7654262","title":"MULTI FACETED WHITE COLLAR CRIME EATING COUNTRY'S ECONOMIC FABRIC LIKE TERMITE","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library of Parliament","funders":"","keywords":"Collar; White-collar crime; White (mutation); Business; Criminology; Psychology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000557317,0.0003564986,0.0002030851,0.001100289,0.008313447,0.005068578,0.0004134396,0.0007273139,0.01176803],"category_scores_gemma":[0.001018411,0.00009656263,0.0002299654,0.001424012,0.006607185,0.001689435,0.004134677,0.001559923,0.00100114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002335116,"about_ca_system_score_gemma":0.002046214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04043113,"about_ca_topic_score_gemma":0.0689503,"domain_scores_codex":[0.9992313,0.0001715764,0.00002222076,0.00008476063,0.0001864753,0.0003036585],"domain_scores_gemma":[0.9994,0.00005560127,0.0001718553,0.00005380889,0.0001131713,0.0002055573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001260037,0.000106301,0.03537861,0.0002850947,0.00004821318,0.005616255,0.1377786,0.0002544509,0.002209713,0.3580395,0.3726366,0.08752064],"study_design_scores_gemma":[0.000004377252,0.00003199329,0.04444615,0.0002594618,0.00001008391,0.002676576,0.07696664,0.0001226159,0.0002654686,0.005329424,0.8698454,0.00004175992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2937795,0.002863999,0.001715875,0.01652966,0.001492222,0.00005810963,0.000781476,0.0002180832,0.6825612],"genre_scores_gemma":[0.8371773,0.001485639,0.001161913,0.004378397,0.0002038645,0.00006683316,0.0004348542,0.0001392006,0.1549519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04043113,"threshold_uncertainty_score":0.08039159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665294478564093,"score_gpt":0.2703210677995254,"score_spread":0.2336681230138845,"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."}}