{"id":"W7097736805","doi":"","title":"To the Honourable, The Legislative Assembly of the Province of British Columbia","year":2001,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Private sector; Government (linguistics); Legislative assembly; Confidentiality; Information privacy","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":[0.001751645,0.0004987203,0.000662574,0.001222371,0.01277394,0.008494704,0.001468602,0.005149869,0.05281892],"category_scores_gemma":[0.008601053,0.0005515779,0.0003844988,0.001996336,0.001722261,0.001486448,0.00175236,0.007574423,0.01186445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02347778,"about_ca_system_score_gemma":0.0684666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9278871,"about_ca_topic_score_gemma":0.9703424,"domain_scores_codex":[0.9975503,0.0002001138,0.00009784051,0.0002703847,0.001055357,0.0008259817],"domain_scores_gemma":[0.9943141,0.0006440018,0.0001427443,0.0002602454,0.003752992,0.0008860795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003197576,0.0000126027,0.001150364,0.00007102764,0.000007769539,0.0001302096,0.0005917266,0.00006154697,0.0003361866,0.009093299,0.974681,0.01383222],"study_design_scores_gemma":[0.000004992773,0.000004276838,0.003535577,0.00008711285,0.000008183929,0.00002097506,0.001125346,0.00006668908,0.0002072857,0.0005096606,0.9944068,0.00002315545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01478821,0.0180386,0.001970445,0.4317353,0.03928407,0.0004843514,0.01342386,0.0006161559,0.479659],"genre_scores_gemma":[0.01978852,0.002061526,0.0007882169,0.0179333,0.0004183999,0.00008261789,0.001258674,0.0001137499,0.957555],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07211286,"threshold_uncertainty_score":0.1766969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026826586383667,"score_gpt":0.272247500598414,"score_spread":0.2519792347345773,"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."}}