{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008969014,0.00005347519,0.0001475836,0.00002610021,0.0002097265,0.00002698569,0.0001737132,0.00004317382,0.0001567616],"category_scores_gemma":[0.0002928563,0.0000535328,0.00005259257,0.0009466905,0.0001156368,0.0004912156,0.00002675576,0.00004802008,0.0003127447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003981296,"about_ca_system_score_gemma":0.0004033641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9390954,"about_ca_topic_score_gemma":0.9304558,"domain_scores_codex":[0.9990773,0.00009878197,0.0002328332,0.00007365381,0.0002511352,0.0002663389],"domain_scores_gemma":[0.9996154,0.00002673116,0.00006118564,0.00008520715,0.0000771958,0.0001342885],"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":[0.000003152273,0.00000495996,0.001304042,0.0006380494,0.000002937208,0.000003017225,0.0009409132,0.000001392986,3.466418e-7,0.9693705,0.02128869,0.006441983],"study_design_scores_gemma":[0.00004694482,0.00001017816,0.002248033,0.0008643907,0.000009944257,0.000001316687,0.0001246841,0.0000160251,0.000001298818,0.001900109,0.9947186,0.00005848223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03018301,0.01217348,0.000005747699,0.03510537,0.0005491966,0.001168208,0.0000757348,0.000112667,0.9206266],"genre_scores_gemma":[0.989374,0.008420012,0.00002886438,0.002050927,0.00002700235,0.00001298892,0.00001586114,0.000001428633,0.00006888941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9734299,"threshold_uncertainty_score":0.4019805,"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."}}