{"id":"W1510154598","doi":"10.2139/ssrn.1137988","title":"A Supermajority of Californians Supports Limits on Law Enforcement Access to Cell Phone Location Information","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Law enforcement; Phone; Enforcement; Law; Mobile phone; Internet privacy; Business; Pragmatism; Intervention (counseling); Computer security; Computer science; Political science; Telecommunications; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001685389,0.0001088965,0.0001385053,0.0001619239,0.000794264,0.00008449005,0.0004808044,0.00009274912,0.00008992384],"category_scores_gemma":[0.000193503,0.0001065746,0.00005899021,0.0003986593,0.00008423271,0.001557843,0.00006483276,0.000628781,0.0001089328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035011,"about_ca_system_score_gemma":0.00205934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093367,"about_ca_topic_score_gemma":0.01497493,"domain_scores_codex":[0.9977471,0.0001298161,0.0003700246,0.000116257,0.0005994549,0.001037314],"domain_scores_gemma":[0.9991681,0.00002810113,0.0002107996,0.0001875021,0.0002589127,0.0001466036],"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":[0.001015182,0.001535272,0.008494233,0.0001613737,0.0001816173,0.00001089277,0.07407515,0.0015045,0.001451409,0.8586062,0.01297037,0.03999377],"study_design_scores_gemma":[0.006071466,0.004514833,0.01000885,0.0002315694,0.000178689,0.0003891267,0.03671882,0.0004474423,0.05047729,0.2933409,0.5957503,0.00187069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922506,0.0002603845,0.03512697,0.003464519,0.0007496825,0.001040865,0.00004375942,0.0000889748,0.03671886],"genre_scores_gemma":[0.9972342,0.001849509,0.00004058522,0.000437669,0.0002440954,0.00001341086,0.00003077596,0.000006299727,0.0001434684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.58278,"threshold_uncertainty_score":0.9956526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038389130594545,"score_gpt":0.2852847976628377,"score_spread":0.2649009063568922,"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."}}