{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00292606,0.0002349341,0.0002151175,0.0001780382,0.001760112,0.0007246246,0.002024765,0.0002760228,0.0001843831],"category_scores_gemma":[0.00100663,0.0002064289,0.00009386247,0.0004257697,0.0002207649,0.002235684,0.0004780794,0.00197729,0.0001646257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009107445,"about_ca_system_score_gemma":0.002686329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814981,"about_ca_topic_score_gemma":0.008251092,"domain_scores_codex":[0.9956941,0.0004284081,0.0003464695,0.0005228415,0.0007930125,0.002215147],"domain_scores_gemma":[0.9979217,0.00005388851,0.0002941872,0.001087818,0.0003822017,0.0002602187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002123558,0.0008105119,0.06636208,0.00007948087,0.001080835,0.00001007796,0.01495375,0.00002639657,0.001537495,0.09975959,0.1676386,0.6475289],"study_design_scores_gemma":[0.001243972,0.0003512642,0.02375736,0.00005510471,0.000135921,0.0002509186,0.007937237,0.0002175351,0.00005508512,0.6340566,0.3314402,0.000498851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5213283,0.02227221,0.2674512,0.1542127,0.01614629,0.005842322,0.0005306583,0.001776938,0.01043936],"genre_scores_gemma":[0.9693536,0.01740753,0.0001685421,0.0001455156,0.008668855,0.00004332619,0.0001792559,0.00003158124,0.004001856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.64703,"threshold_uncertainty_score":0.9995394,"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."}}