{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002286308,0.003069558,0.001418278,0.003453676,0.001303908,0.002858932,0.002723309,0.002835342,0.2007087],"category_scores_gemma":[0.01366514,0.0006778855,0.00176066,0.003422224,0.000647767,0.001316445,0.002471112,0.001696448,0.2724599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103092,"about_ca_system_score_gemma":0.003406868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01868153,"about_ca_topic_score_gemma":0.03399318,"domain_scores_codex":[0.9985709,0.0002500505,0.0001460491,0.0004421215,0.0002880076,0.0003028688],"domain_scores_gemma":[0.9957654,0.001356854,0.0002492448,0.001025914,0.001169729,0.0004327354],"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":[0.00007558822,0.00003404329,0.0006101851,0.0003287554,0.00001344599,0.00001230634,0.00002332109,0.00006301146,0.00007013097,0.000192668,0.9968555,0.001721045],"study_design_scores_gemma":[0.0008251508,0.00009065373,0.007359758,0.0004496324,0.00005412129,0.00007414977,0.0001984947,0.0004424388,0.0004782041,0.002038214,0.9879319,0.00005738249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001470496,0.00002768776,0.00007352528,0.00007589323,0.00005789101,0.00002473281,0.9984754,0.0004546299,0.0006631069],"genre_scores_gemma":[0.000533473,0.00003104426,0.0003888752,0.00008385269,0.00002315091,0.000240597,0.996929,0.0001281975,0.00164182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7992914,"threshold_uncertainty_score":0,"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."}}