{"id":"W7070824506","doi":"","title":"À quoi sert le renseignement financier? : de la trace financière à la « fabrique de la criminalité » en Suisse et au Canada","year":2022,"lang":"fr","type":"dissertation","venue":"IRIS","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"International market; Western europe; Economic analysis","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"],"consensus_categories":[],"category_scores_codex":[0.001433512,0.0004177298,0.0003791445,0.0001471059,0.0006269976,0.0002456938,0.00156763,0.0005434299,0.00005032074],"category_scores_gemma":[0.0004241658,0.0004854224,0.0001470082,0.0006291273,0.0001702918,0.000172378,0.0003206303,0.001053004,0.000007169787],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127087,"about_ca_system_score_gemma":0.01426799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.888528,"about_ca_topic_score_gemma":0.6098419,"domain_scores_codex":[0.9969177,0.0008133576,0.0004430826,0.0007557314,0.0004043811,0.0006656989],"domain_scores_gemma":[0.9972016,0.001294347,0.0002769519,0.0009723601,0.000133356,0.0001213662],"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":[0.00003553772,0.0005519106,0.003900368,0.0005000111,0.00008995883,0.0009792293,0.03502477,0.001680604,0.003302534,0.7587951,0.05707907,0.1380609],"study_design_scores_gemma":[0.0002880018,0.00009459024,0.1237587,0.0001447097,0.00005669807,0.0002279811,0.005978853,0.002631493,0.005717441,0.008372772,0.8521284,0.0006003348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8930845,0.003988428,0.06509358,0.01025212,0.0003696803,0.0005946621,0.0001570189,0.0003230433,0.02613696],"genre_scores_gemma":[0.9557115,0.0006624321,0.02785709,0.0004441544,0.00005731562,0.0008544248,0.0001391978,0.00005200087,0.01422182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7950493,"threshold_uncertainty_score":0.9997597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142024148370094,"score_gpt":0.2734844613055358,"score_spread":0.2620642198218349,"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."}}