{"id":"W7005436992","doi":"","title":"Privacy, Trusts and Cross-Border Transfers of Personal Information:\\nThe Quebec Perspective in the Canadian Context","year":2014,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Context (archaeology); Perspective (graphical); Order (exchange); Personally identifiable information; Point (geometry); Freedom of information","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":[0.002139215,0.0003383974,0.0003293404,0.002310448,0.016093,0.01179976,0.001395553,0.003616113,0.00878639],"category_scores_gemma":[0.004929658,0.0003166889,0.0005831381,0.004010472,0.01241766,0.003874497,0.002714122,0.003467847,0.0003619562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1261792,"about_ca_system_score_gemma":0.1042999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939986,"about_ca_topic_score_gemma":0.9942312,"domain_scores_codex":[0.9963294,0.0007676209,0.0001028727,0.0003529433,0.001281553,0.001165629],"domain_scores_gemma":[0.9958728,0.001352885,0.0003325298,0.0002586696,0.001628057,0.0005549861],"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":[0.00001650349,0.000009210143,0.002524376,0.00005074214,0.00001086667,0.0004756831,0.006077344,0.0006421958,0.0001104098,0.969532,0.01206137,0.008489209],"study_design_scores_gemma":[0.00003699823,0.00002959483,0.01994433,0.0009583801,0.00008833328,0.0006995165,0.02401224,0.003591137,0.0004395474,0.1619717,0.7880659,0.0001622682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06451811,0.01679194,0.00738205,0.1327385,0.0004876179,0.0001170198,0.001151206,0.00008159302,0.7767321],"genre_scores_gemma":[0.8788984,0.01109284,0.002677444,0.01029314,0.0001605801,0.00006149188,0.0001986193,0.00002933319,0.09658817],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1261792,"threshold_uncertainty_score":0.9154981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766057374384031,"score_gpt":0.3171428632596881,"score_spread":0.2994822895158478,"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."}}