{"id":"W7100058956","doi":"","title":"its Affect on Organizations and IT Departments The Personal Information Protection and Electronic Documents Act (PIPEDA or PIPED Act) by the Canadian","year":2015,"lang":"en","type":"article","venue":"","topic":"Philosophical and Cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personally identifiable information; Affect (linguistics); Officer; Government (linguistics); Data Protection Act 1998; Confidentiality; Information system; Information protection policy","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":[0.0001125017,0.0001007642,0.00007081879,0.00003264809,0.0009911226,0.0004238179,0.00006959862,0.00003014223,0.0007796576],"category_scores_gemma":[0.00005532765,0.00004090427,0.00001692676,0.00008450524,0.00006484024,0.0004982892,0.00001739732,0.0001178742,0.00007950972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113636,"about_ca_system_score_gemma":0.0001068652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01734006,"about_ca_topic_score_gemma":0.41757,"domain_scores_codex":[0.9994233,0.00004590089,0.00009818995,0.00008611235,0.0001734738,0.0001730786],"domain_scores_gemma":[0.999661,0.00001925823,0.00004225573,0.00005585241,0.0001145414,0.0001070588],"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":[0.000764532,0.0004010335,0.002909647,0.000132532,0.001979805,0.000005094796,0.258493,0.0000481312,0.00040416,0.4011701,0.2856919,0.0480001],"study_design_scores_gemma":[0.00141741,0.0009016666,0.001454178,0.00002183333,0.0002829134,0.00002853175,0.00966058,0.004829453,0.0003257082,0.005462558,0.9751444,0.0004706923],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8529423,0.0001190042,0.000008668593,0.0676477,0.0001060218,0.0010657,0.00006513869,0.00006533673,0.07798009],"genre_scores_gemma":[0.989405,0.00002399024,4.306536e-7,0.002344707,0.00009430703,0.00003938449,0.00005824304,0.000003927494,0.008029993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6894526,"threshold_uncertainty_score":0.9892036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03300662500709402,"score_gpt":0.2306237610507658,"score_spread":0.1976171360436718,"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."}}