{"id":"W2186208683","doi":"","title":"Personas: Beyond Identity Protection by Information Control A Report to the Privacy Commissioner of Canada","year":2009,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identity (music); Internet privacy; Persona; Personally identifiable information; Control (management); Information privacy; Political science; Computer security; Business; Public relations; Computer science; Art; Artificial intelligence","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":[0.02240564,0.0006957146,0.001016208,0.003529885,0.01685298,0.01972672,0.00389666,0.01190304,0.0105449],"category_scores_gemma":[0.0377836,0.001069191,0.00143835,0.005331095,0.00730564,0.007696867,0.00427076,0.008648289,0.001851673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06804616,"about_ca_system_score_gemma":0.3791418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861412,"about_ca_topic_score_gemma":0.9827534,"domain_scores_codex":[0.9428237,0.00425076,0.001666515,0.002278675,0.03947458,0.009505704],"domain_scores_gemma":[0.9300512,0.01257877,0.001757371,0.004142356,0.04459601,0.006874333],"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":[0.0002049517,0.0001802945,0.01006889,0.0003578851,0.00005389111,0.0004057339,0.004741389,0.002017002,0.00193797,0.2462585,0.6168256,0.116948],"study_design_scores_gemma":[0.00004097725,0.00004837948,0.009634029,0.0004459314,0.00008011908,0.0001468055,0.004066553,0.002094331,0.002642448,0.01039171,0.9702829,0.0001259084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0479238,0.01857664,0.02734776,0.4983041,0.005476166,0.002151906,0.007331447,0.002250698,0.3906375],"genre_scores_gemma":[0.302217,0.03623811,0.04051194,0.08143178,0.001405543,0.0006632752,0.006957647,0.0008480539,0.5297266],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06804616,"threshold_uncertainty_score":0.4937118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216469138339137,"score_gpt":0.2686469075365803,"score_spread":0.2564822161531889,"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."}}