{"id":"W1710150156","doi":"10.1002/bult.2014.1720400205","title":"Special section: Information policy","year":2014,"lang":"en","type":"article","venue":"Bulletin of the Association for Information Science and Technology","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Element (criminal law); Section (typography); Government (linguistics); Political science; Public relations; Key (lock); Privacy policy; Access to information; Information privacy; Information policy; Association (psychology); Public administration; Internet privacy; Information access; Library science; Business; Law; Psychology; Computer science; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003573353,0.00005842011,0.00009325189,0.0005492478,0.001274171,0.0001696867,0.0005549737,0.0001801731,0.00001943861],"category_scores_gemma":[0.02132278,0.00004991029,0.00003128333,0.001467422,0.0004705857,0.00147945,0.0002055608,0.0001091467,0.00004170821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641933,"about_ca_system_score_gemma":0.0003246929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005238603,"about_ca_topic_score_gemma":0.00007115575,"domain_scores_codex":[0.9987329,0.00004479689,0.0003033364,0.00007359195,0.0006205594,0.0002248515],"domain_scores_gemma":[0.9979425,0.00009580034,0.0005584485,0.0002000319,0.001166598,0.00003660996],"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":[0.00001143082,0.00001043873,0.002088282,0.00001722878,0.000005200947,1.705934e-9,0.002844129,0.000004209432,0.00003369184,0.846047,0.08864373,0.0602946],"study_design_scores_gemma":[0.0002749097,0.00003460913,0.00221887,0.000005733657,0.000004732532,6.056922e-7,0.001202636,0.00005403474,0.0005354622,0.01356871,0.9820417,0.00005796245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0322302,0.0000153759,0.004813819,0.3354063,0.007582635,0.002332283,0.0001014152,0.0004485613,0.6170694],"genre_scores_gemma":[0.9945213,0.00008025944,0.0007665763,0.001539528,0.00240155,0.00007624805,0.00001382849,0.000003151314,0.0005975699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9622911,"threshold_uncertainty_score":0.986921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008715257496518447,"score_gpt":0.2606360663715899,"score_spread":0.2519208088750715,"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."}}