{"id":"W2474610687","doi":"","title":"Information Practices and Individual Privacy","year":2016,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Information privacy; Personally identifiable information; Computer science; Privacy software; Computer security","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":[0.0006763313,0.000036937,0.00003768145,0.00004649457,0.0002794617,0.0001674766,0.0001789887,0.000053238,0.0002308113],"category_scores_gemma":[0.0032486,0.0000239755,0.00000838744,0.00008008831,0.00009264704,0.004328567,0.000154483,0.00003601725,0.0001301093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002059571,"about_ca_system_score_gemma":0.00006094534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001779636,"about_ca_topic_score_gemma":0.000495172,"domain_scores_codex":[0.9994541,0.00007330045,0.00008966376,0.00005702626,0.0002080332,0.0001178832],"domain_scores_gemma":[0.9995419,0.000110428,0.0001364504,0.000109353,0.00004234716,0.00005950095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003539734,0.00004431928,0.01999486,0.00001790325,0.00002282349,4.417951e-7,0.0426341,1.486669e-8,0.0003785776,0.2054771,0.02535692,0.7060376],"study_design_scores_gemma":[0.0002685977,0.00002908683,0.01903469,0.000007536018,0.00000692447,0.000001180525,0.003384172,0.000001410787,0.0004310793,0.01752336,0.9592295,0.00008250278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.780699,0.0001119217,0.01116903,0.05464106,0.000529619,0.0006088514,0.00003691312,0.0003624926,0.1518412],"genre_scores_gemma":[0.9981952,0.0003180478,0.0007510838,0.0002860752,0.0001358675,0.000008408553,0.000004240221,0.000001419714,0.0002997003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9338725,"threshold_uncertainty_score":0.3889112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05392608439968345,"score_gpt":0.3322689533808666,"score_spread":0.2783428689811832,"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."}}