{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491475,0.0001209622,0.0002453256,0.00003219097,0.0001923873,0.00003853097,0.0001122986,0.0001252792,0.0008491434],"category_scores_gemma":[0.0002344166,0.00006594946,0.00005772177,0.0001072,0.0004075998,0.0001269256,0.00002096859,0.0003401037,0.00003368033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079536,"about_ca_system_score_gemma":0.00009059941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4435374,"about_ca_topic_score_gemma":0.676506,"domain_scores_codex":[0.9991588,0.00008543078,0.0002068315,0.0001363449,0.0001662563,0.0002463618],"domain_scores_gemma":[0.999392,0.000179468,0.0000368309,0.00008383016,0.0001108725,0.0001969796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003192322,0.0006677352,0.5695239,0.0004314498,0.0005627493,0.00008447534,0.04391027,0.00001582601,0.001016496,0.2753312,0.009992184,0.09527139],"study_design_scores_gemma":[0.002389879,0.0004864591,0.7480923,0.00004053426,0.00003344504,0.00002338115,0.00304716,0.00005992817,0.0001185467,0.0005592174,0.2450009,0.0001482596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572693,0.000358506,0.000006491807,0.008676239,0.00006560323,0.0003711408,0.00007259141,0.00001278129,0.03316738],"genre_scores_gemma":[0.9898575,0.00004770003,0.00003032909,0.009723374,0.00008179431,0.00002068991,0.0000144863,0.00000274431,0.000221393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.274772,"threshold_uncertainty_score":0.9297525,"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."}}