{"id":"W4398960794","doi":"10.7910/dvn/vvxwzo/exn6w4","title":"p04.arff","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Memorial University of Newfoundland","funders":"","keywords":"Replication (statistics); Authentication (law); Dynamics (music); Computer science; Computer security; Internet privacy; Psychology; Biology; Virology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003331313,0.0002876244,0.0003607268,0.0002233288,0.00008364406,0.0004537061,0.003620815,0.0002558111,0.005786474],"category_scores_gemma":[0.00008058504,0.0002775668,0.0001293515,0.0002562933,0.00003877475,0.0006165482,0.001119283,0.0003431537,0.6163134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005920187,"about_ca_system_score_gemma":0.0001738899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001518337,"about_ca_topic_score_gemma":0.00003996652,"domain_scores_codex":[0.9978935,0.0001260956,0.0003696232,0.0007196816,0.0005528926,0.0003382318],"domain_scores_gemma":[0.9952356,0.00007146027,0.0002365684,0.0042142,0.00008250902,0.0001597097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001817299,0.000052819,0.000001866554,0.00009997909,0.00003495788,0.00002622985,0.0003103307,2.431785e-7,0.000002966576,0.0004946455,0.9988731,0.0001010552],"study_design_scores_gemma":[0.0002356515,0.00002356319,0.00001294507,0.00005595338,0.00002568962,0.00002204314,0.00001317063,0.001812738,0.000006024191,0.00005525958,0.9974104,0.0003265865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002651281,0.000001651527,0.002226688,0.00002472227,0.002692422,0.0003167202,0.9943461,0.0001082045,0.0002808128],"genre_scores_gemma":[0.00003613812,0.00007787171,0.0003137893,0.0008284307,0.0001766068,0.0000177671,0.9968447,0.00001178326,0.001692919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6105269,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444795417446025,"score_gpt":0.2529510620220633,"score_spread":0.2285031078476031,"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."}}