{"id":"W7104436112","doi":"10.71781/23408","title":"Policing financier transnational : les cellules de renseignement financier au cœur de la lutte contre le financement du terrorisme","year":2018,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic reform; Clientelism; Humanitarian aid; South asia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002000608,0.0002932347,0.0002955936,0.001552748,0.002020725,0.006521702,0.0004393577,0.0006848057,0.009833778],"category_scores_gemma":[0.005169175,0.000217705,0.0003824219,0.001834661,0.001689477,0.00258933,0.002352551,0.001031524,0.0005483485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007766064,"about_ca_system_score_gemma":0.01216804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1936407,"about_ca_topic_score_gemma":0.1846742,"domain_scores_codex":[0.9984137,0.0003060038,0.00005515404,0.0002131328,0.0004183614,0.0005936809],"domain_scores_gemma":[0.9953505,0.0008526207,0.00151526,0.000201557,0.001165782,0.0009143544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000211036,0.0001312914,0.5310206,0.0002774034,0.0002314603,0.0008268972,0.03827101,0.005999808,0.001804464,0.3132882,0.006481087,0.1014566],"study_design_scores_gemma":[0.00002846964,0.0001238468,0.7626753,0.0008076467,0.0001567755,0.0004878899,0.06457919,0.006775479,0.001586802,0.03888312,0.1238005,0.0000949965],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8688248,0.002572597,0.008232938,0.006301012,0.00007242588,0.0001177589,0.000674248,0.0000522494,0.113152],"genre_scores_gemma":[0.9828312,0.001055176,0.00162377,0.0002160978,0.00002097643,0.00003229293,0.0002225074,0.00001656313,0.01398146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1936407,"threshold_uncertainty_score":0.3850272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007296240511807985,"score_gpt":0.2048004801555733,"score_spread":0.1975042396437653,"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."}}