{"id":"W4387423349","doi":"10.2139/ssrn.4571389","title":"Submission to The Standing Committee on Industry and Technology on Bill C-27, An Act to enact the Consumer Privacy Protection Act, the Personal Information and Data Protection Tribunal Act and the Artificial Intelligence and Data Act and to make consequential and related amendments to other Acts","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; University of British Columbia","funders":"","keywords":"Consumer Protection Act; FTC Fair Information Practice; Data Protection Act 1998; Tribunal; Business; Personally identifiable information; Information privacy law; Consumer protection; Privacy policy; Privacy law; Consumer privacy; Information privacy; Internet privacy; Law; Political science; Commerce; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007537943,0.0002325148,0.0002015887,0.0003151029,0.002665209,0.000925226,0.0007456956,0.000247058,0.000009096503],"category_scores_gemma":[0.002366837,0.0001199775,0.00001574616,0.0007996416,0.0004319475,0.001002155,0.001009053,0.002063992,0.000006019679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002634564,"about_ca_system_score_gemma":0.0004302316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001297274,"about_ca_topic_score_gemma":0.004598924,"domain_scores_codex":[0.9971321,0.0007170445,0.0003522976,0.000499175,0.0004839014,0.0008154489],"domain_scores_gemma":[0.9986579,0.0002415426,0.0002216145,0.0005918563,0.00007458216,0.0002125165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004572477,0.00009858248,0.002032092,0.00002820539,0.0002745235,0.000003434128,0.03564163,0.00002015697,0.003738624,0.009484787,0.0006384788,0.943467],"study_design_scores_gemma":[0.009201745,0.01374331,0.03835048,0.00162641,0.0009436415,0.003046234,0.2510331,0.02311722,0.006983734,0.2436843,0.40505,0.003219789],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128462,0.0001887092,0.001634375,0.08208355,0.0001932254,0.002876333,0.00008985938,0.00005371554,0.00003404079],"genre_scores_gemma":[0.9979591,0.001268613,0.00002269167,0.0004411853,0.0001761819,0.00006134581,0.00002051433,0.00001540146,0.00003499187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9402472,"threshold_uncertainty_score":0.9986332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.091596826796625,"score_gpt":0.3528568621571848,"score_spread":0.2612600353605598,"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."}}