{"id":"W7056795913","doi":"","title":"Ethnographie du policing des marchés financiers","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Pulsed Power Technology Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Competition policy; Organised crime; Tax evasion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002330615,0.0006403731,0.0004924373,0.001070449,0.01798755,0.00004599083,0.0009792203,0.0008178529,0.0004813556],"category_scores_gemma":[0.00007779402,0.0009224798,0.0004575978,0.001501418,0.0009517267,0.0003809923,0.0003359483,0.001434764,0.0001209786],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01305455,"about_ca_system_score_gemma":0.001190374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1178319,"about_ca_topic_score_gemma":0.028403,"domain_scores_codex":[0.9971924,0.0001169548,0.0005180353,0.0007363648,0.0005743012,0.0008619414],"domain_scores_gemma":[0.9982819,0.0001661197,0.0002882077,0.0007289154,0.0001907877,0.000344062],"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":[0.000666136,0.0007764572,0.09493084,0.001360025,0.002442589,0.005566458,0.209288,0.1346383,0.0957875,0.389952,0.008065337,0.0565264],"study_design_scores_gemma":[0.002272027,0.0002718904,0.4691025,0.0005059882,0.001437037,0.003405391,0.1015222,0.01297022,0.02791556,0.008040585,0.3697111,0.002845481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8934844,0.03265139,0.001780899,0.0008812527,0.001986383,0.0006644113,0.0002835527,0.0008542873,0.06741346],"genre_scores_gemma":[0.9684547,0.003018169,0.003843151,0.00008316057,0.0001726408,0.0002673077,0.001031165,0.0001178384,0.02301185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3819114,"threshold_uncertainty_score":0.9993226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004447917364925508,"score_gpt":0.173259793147375,"score_spread":0.1688118757824495,"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."}}