{"id":"W2601055531","doi":"","title":"Crimes et contrebande aux douanes canadiennes : première partie","year":2016,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.004808714,0.001174305,0.001580824,0.009677882,0.004666582,0.007837873,0.001362604,0.002047185,0.01028073],"category_scores_gemma":[0.01058096,0.000974088,0.00183398,0.01559285,0.002616836,0.001715298,0.002147871,0.004591431,0.0007981783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03075662,"about_ca_system_score_gemma":0.02734931,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8717249,"about_ca_topic_score_gemma":0.9160067,"domain_scores_codex":[0.9946622,0.001109407,0.0003632304,0.000694852,0.001677769,0.001492596],"domain_scores_gemma":[0.9922385,0.003733055,0.0009028313,0.0005758992,0.002017643,0.0005320929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006107696,0.0002219811,0.06152064,0.003692032,0.001467312,0.001017612,0.02748646,0.00250402,0.0009742522,0.2487076,0.2241646,0.4276327],"study_design_scores_gemma":[0.00003622094,0.00005404212,0.1439606,0.001768555,0.0002142178,0.0003465165,0.003186355,0.0002448702,0.0006131541,0.002438352,0.8470482,0.00008893086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1398588,0.5118707,0.003298566,0.03246531,0.003153088,0.0003524038,0.02330161,0.0002566657,0.2854428],"genre_scores_gemma":[0.4910219,0.2931477,0.004911099,0.007705867,0.003401176,0.0004906256,0.01242875,0.0004177311,0.1864751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1282751,"threshold_uncertainty_score":0.2580611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957142863097668,"score_gpt":0.2161704217156921,"score_spread":0.1965989930847155,"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."}}