{"id":"W4398862435","doi":"10.7910/dvn/vvxwzo/i5tcrs","title":"p02.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; Dynamics (music); Internet privacy; Computer security; Psychology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002349547,0.002988031,0.001503662,0.003507811,0.001403466,0.003096975,0.002906985,0.003133245,0.2211762],"category_scores_gemma":[0.01528591,0.0007215583,0.00180154,0.003870158,0.0006767848,0.001448298,0.00261689,0.001759471,0.2712033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111307,"about_ca_system_score_gemma":0.003475875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01707477,"about_ca_topic_score_gemma":0.02964753,"domain_scores_codex":[0.9984914,0.000268806,0.0001554404,0.000479236,0.0002904455,0.0003146412],"domain_scores_gemma":[0.9953062,0.001645955,0.0002826524,0.001082156,0.001222034,0.0004610008],"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":[0.00007997295,0.00003152805,0.000599384,0.0004040854,0.00001524018,0.00001457566,0.00002422014,0.00006108824,0.00006426829,0.0002039933,0.996828,0.001673609],"study_design_scores_gemma":[0.0008890798,0.00008509211,0.007080626,0.0004809461,0.00005944886,0.00007932304,0.0001867254,0.0003767858,0.0003766281,0.001980576,0.9883491,0.00005561197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000132469,0.00003216613,0.00006494187,0.00008591486,0.00005984717,0.00002306957,0.9985957,0.0003649028,0.0006409328],"genre_scores_gemma":[0.0005241446,0.00003585901,0.000328579,0.00008821976,0.0000278521,0.0002430468,0.9970561,0.0001183155,0.001577893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7788238,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449130624713794,"score_gpt":0.2529910260622441,"score_spread":0.2284997198151061,"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."}}