{"id":"W2766119890","doi":"10.71781/1844","title":"État de droit et lutte antiterroriste : étude parallèle des systèmes juridiques français et canadien quant à la collecte et au partage des renseignements","year":2017,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; 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":[0.008636017,0.0005663,0.0009415075,0.006841675,0.004994904,0.00728095,0.001449653,0.001237662,0.01419772],"category_scores_gemma":[0.02839429,0.0006330482,0.001207025,0.01385566,0.002559152,0.003407047,0.004081909,0.002589422,0.001292163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04190772,"about_ca_system_score_gemma":0.06500511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.888519,"about_ca_topic_score_gemma":0.8817535,"domain_scores_codex":[0.9902497,0.002041647,0.0008481531,0.001258391,0.002913667,0.002688523],"domain_scores_gemma":[0.9641811,0.008245559,0.006954272,0.001263942,0.01591161,0.00344344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003809825,0.0001081789,0.8496408,0.001137724,0.0005797835,0.000365633,0.04239136,0.001540981,0.0002942524,0.01974538,0.01387825,0.06993654],"study_design_scores_gemma":[0.00002567327,0.00007469855,0.9122197,0.0007075511,0.0001816437,0.0001445624,0.0259538,0.000536575,0.0002394237,0.0008597038,0.05896933,0.00008741528],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.868777,0.01781769,0.003330824,0.01202944,0.0003871176,0.0004301121,0.0224835,0.0002397809,0.07450442],"genre_scores_gemma":[0.9681229,0.004536293,0.001291788,0.0008718724,0.00007417519,0.0002973905,0.004545073,0.00007465058,0.02018593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.111481,"threshold_uncertainty_score":0.3040631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07824659693397171,"score_gpt":0.3888743734554714,"score_spread":0.3106277765214996,"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."}}