{"id":"W4398799850","doi":"10.7910/dvn/vvxwzo/lz09np","title":"p03.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); Computer science; Internet privacy; Dynamics (music); World Wide Web; Psychology; Computer security; Biology","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":[0.0003317645,0.0002875284,0.0003611569,0.0002225674,0.0000836328,0.0004594497,0.003611469,0.00019565,0.005988719],"category_scores_gemma":[0.00008131702,0.0002774938,0.0001284853,0.0002572841,0.00003885012,0.0006169479,0.001121875,0.0003427636,0.6188228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005914082,"about_ca_system_score_gemma":0.0001753222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001887339,"about_ca_topic_score_gemma":0.00004951506,"domain_scores_codex":[0.997896,0.0001260127,0.0003694039,0.0007192451,0.0005512841,0.0003380344],"domain_scores_gemma":[0.9952384,0.00007005811,0.0002365343,0.004211257,0.00008416837,0.0001596206],"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":[0.000001812751,0.00005302271,0.000002470619,0.0001042235,0.00003216973,0.00002624417,0.0003049696,2.377884e-7,0.00000272357,0.0005013483,0.998872,0.0000987343],"study_design_scores_gemma":[0.0002349351,0.00001970335,0.00001599506,0.0000573069,0.00002552126,0.00002205804,0.00001323949,0.001847653,0.000005794363,0.00005608579,0.9973752,0.0003265204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002872367,0.00000164767,0.002291229,0.00002389309,0.002673312,0.0003165021,0.9943221,0.0001081866,0.0002602972],"genre_scores_gemma":[0.00004543202,0.0000788721,0.0003181839,0.0008188493,0.0001762059,0.00001777861,0.9969163,0.00001177777,0.001616628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.612834,"threshold_uncertainty_score":0.9999677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442913053565443,"score_gpt":0.2529062360345342,"score_spread":0.2284771054988797,"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."}}