{"id":"W4312137566","doi":"","title":"La circulation des données personnelles entre l’Union européenne et le Canada, entre confiance et défiance","year":2015,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Geography","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":[0.01510845,0.0008403615,0.001174362,0.01794889,0.004986401,0.01939236,0.001487912,0.00282024,0.009761275],"category_scores_gemma":[0.07860611,0.000793745,0.00134042,0.03002476,0.00494835,0.004164219,0.002802727,0.005202545,0.001749412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07337181,"about_ca_system_score_gemma":0.1447656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9832392,"about_ca_topic_score_gemma":0.9564143,"domain_scores_codex":[0.9712091,0.002250285,0.001750394,0.002876471,0.01884859,0.003065067],"domain_scores_gemma":[0.8882281,0.03841479,0.004633798,0.003814763,0.05944503,0.005463521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002214032,0.0003102662,0.2055888,0.002480662,0.001046495,0.001883119,0.04089117,0.005962575,0.007622822,0.05641136,0.2042085,0.4713803],"study_design_scores_gemma":[0.00008750397,0.0000927012,0.4815758,0.00151219,0.0001801621,0.0005658292,0.02159086,0.002867756,0.003224354,0.002548262,0.4855147,0.0002398486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5956668,0.05776025,0.0117583,0.09517139,0.003074545,0.0003691184,0.1171449,0.00249913,0.1165556],"genre_scores_gemma":[0.844804,0.02711749,0.01405898,0.005894296,0.001130354,0.0001977854,0.03679237,0.0009688333,0.06903591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07337181,"threshold_uncertainty_score":0.5323522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08482290630549838,"score_gpt":0.3400057196404344,"score_spread":0.255182813334936,"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."}}