{"id":"W4379017104","doi":"10.54648/gplr2023007","title":"Collection of Personal Information in Canadian Law","year":2023,"lang":"en","type":"article","venue":"Global Privacy Law Review","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personally identifiable information; Legislature; Data collection; Control (management); Internet privacy; Law; Business; Public relations; Political science; Computer science; Sociology; Social 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":[0.009171556,0.0004497945,0.0006485444,0.008020776,0.01614561,0.01230824,0.002305077,0.003478702,0.004086463],"category_scores_gemma":[0.01962725,0.0006793762,0.000652328,0.01437565,0.01906707,0.004154253,0.003879994,0.00476799,0.0002897108],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1809531,"about_ca_system_score_gemma":0.3324104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932805,"about_ca_topic_score_gemma":0.9950891,"domain_scores_codex":[0.9855004,0.001593517,0.0005683433,0.001095352,0.009235458,0.002006916],"domain_scores_gemma":[0.9834296,0.004703921,0.001043221,0.0006400575,0.009313325,0.0008698803],"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":[0.00002409754,0.00003173192,0.004699196,0.0008080169,0.00003456214,0.0003771903,0.01077331,0.0006349704,0.00022845,0.8540226,0.04509579,0.08327003],"study_design_scores_gemma":[0.00002166677,0.00003013371,0.02284914,0.003572321,0.00009877807,0.0002672946,0.007165338,0.0005644521,0.0004376505,0.04356006,0.9213068,0.0001263889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05056635,0.2537165,0.004084804,0.1068115,0.001292396,0.0002665818,0.000963159,0.00008672441,0.582212],"genre_scores_gemma":[0.6860944,0.2166205,0.005540726,0.0359158,0.0004807952,0.0001522964,0.0006071529,0.00008926656,0.0544991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1809531,"threshold_uncertainty_score":0.9499782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04539749087010859,"score_gpt":0.3535570972028212,"score_spread":0.3081596063327126,"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."}}