{"id":"W3185754219","doi":"","title":"Prediction, Preemption, Presumption: How Big Data Threatens Big Picture Privacy","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Presumption; Big data; CONTEST; Order (exchange); Preemption; Process (computing); Law and economics; Internet privacy; Computer science; Political science; Business; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.04168632,0.0005360224,0.0009278476,0.001612592,0.009385366,0.01478868,0.003233214,0.01161411,0.003675731],"category_scores_gemma":[0.07322432,0.0007695543,0.001530321,0.001488528,0.06567175,0.02728465,0.01108653,0.02121733,0.0006441324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006044493,"about_ca_system_score_gemma":0.007480892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003740527,"about_ca_topic_score_gemma":0.002261496,"domain_scores_codex":[0.9692135,0.01831596,0.0008896682,0.003387407,0.006296284,0.001897126],"domain_scores_gemma":[0.9179044,0.06551783,0.003646285,0.008867748,0.002975052,0.001088642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009380467,0.000006770274,0.000281624,0.0000131158,0.000005359585,0.00008958039,0.001234345,0.0003277874,0.00005102648,0.994863,0.001052806,0.002065293],"study_design_scores_gemma":[0.000009140725,0.000009187901,0.0001184003,0.00005260334,0.000005703821,0.00008575921,0.0004325484,0.001068993,0.0001530907,0.9906474,0.007404082,0.00001300072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08458938,0.006404758,0.305859,0.3288294,0.001705581,0.0001679506,0.0001567485,0.0002404862,0.2720467],"genre_scores_gemma":[0.9640402,0.001637124,0.01449485,0.01343991,0.0007048448,0.0001197342,0.00003318163,0.00007806036,0.005452112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9906147,"threshold_uncertainty_score":0.220461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0616432806697598,"score_gpt":0.284253917427946,"score_spread":0.2226106367581862,"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."}}