{"id":"W4398930458","doi":"10.7910/dvn/vvxwzo/4mjoa1","title":"p13.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; Internet privacy; Computer security; Biology; Psychology; 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":[0.0003243944,0.0002874359,0.0003609751,0.0002215758,0.00008327581,0.0004456671,0.003614509,0.0002556182,0.005856669],"category_scores_gemma":[0.00007804716,0.0002773904,0.0001296235,0.0002538471,0.00003866339,0.0006145211,0.00109156,0.0003428393,0.6138303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005897838,"about_ca_system_score_gemma":0.0001723682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001325982,"about_ca_topic_score_gemma":0.00004023681,"domain_scores_codex":[0.9978979,0.0001249643,0.0003687413,0.0007193677,0.0005512653,0.0003377547],"domain_scores_gemma":[0.9952347,0.00007122932,0.0002362752,0.004215878,0.00008238772,0.0001595001],"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":[0.00000179217,0.00005294911,0.000002447886,0.0001041067,0.00003214565,0.00002630399,0.0003201446,2.476255e-7,0.000002914296,0.0004280542,0.9989311,0.00009785387],"study_design_scores_gemma":[0.0002348139,0.00002333805,0.00001187296,0.00005717379,0.0000255149,0.00002103605,0.00001637797,0.001783292,0.000005907863,0.00005274059,0.9974415,0.0003263946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000316158,0.000001650399,0.002208409,0.00002470837,0.002685701,0.0003156631,0.9944058,0.0001080166,0.0002468953],"genre_scores_gemma":[0.00003476398,0.00007743062,0.0003056411,0.0006864655,0.0001764299,0.00001770749,0.9968444,0.00001176126,0.001845437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6079736,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445602073630325,"score_gpt":0.2529244893246754,"score_spread":0.2284684685883722,"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."}}