{"id":"W2803500806","doi":"","title":"Privacy and Insurance in Canada, England, and France – How Does the Responsible Insurer “Put Guidelines and Procedures in Place for Retaining and Destroying Personal Information","year":2017,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personally identifiable information; Business; Internet privacy; Actuarial science; Law; Political science; Computer 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":[0.008748666,0.0002643308,0.0005262859,0.002594375,0.02492947,0.01464744,0.001789115,0.004557989,0.004061908],"category_scores_gemma":[0.02486701,0.0003962883,0.0004704426,0.003952102,0.0306625,0.006516418,0.004866833,0.005896081,0.0002283573],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1411621,"about_ca_system_score_gemma":0.1421313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992004,"about_ca_topic_score_gemma":0.9936821,"domain_scores_codex":[0.9838744,0.00410452,0.0003591957,0.001047944,0.005614031,0.004999779],"domain_scores_gemma":[0.9851126,0.004954383,0.001267627,0.0005772061,0.00508834,0.002999871],"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":[0.0001132139,0.00009437165,0.03285443,0.0002106157,0.00008304096,0.001306336,0.3159993,0.0004113443,0.0002459732,0.5495377,0.04719047,0.05195322],"study_design_scores_gemma":[0.00004903055,0.00007240319,0.104068,0.001877478,0.0001164675,0.0006510082,0.3250857,0.0006874919,0.0005962353,0.02408305,0.5424824,0.000230764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5002334,0.03851022,0.001482722,0.2143998,0.0006417652,0.00007891998,0.0004102095,0.00004617199,0.2441969],"genre_scores_gemma":[0.9731665,0.005650709,0.0004228774,0.008756668,0.00007220015,0.00001830643,0.00007977201,0.00001926448,0.01181367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1411621,"threshold_uncertainty_score":0.9961302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319001248784729,"score_gpt":0.2990744582008913,"score_spread":0.265884445713044,"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."}}