{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001712678,0.002298587,0.001207241,0.002744561,0.00119157,0.002308614,0.002343109,0.002645977,0.2193492],"category_scores_gemma":[0.01218669,0.0005412772,0.001255958,0.003145626,0.0005228354,0.001260227,0.0022473,0.00138582,0.2372866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028838,"about_ca_system_score_gemma":0.002996776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01755953,"about_ca_topic_score_gemma":0.03725046,"domain_scores_codex":[0.9988696,0.0001896139,0.0001258309,0.0003392525,0.000226772,0.0002489354],"domain_scores_gemma":[0.9962192,0.00119319,0.0002358557,0.0007708399,0.001212405,0.0003684782],"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":[0.00007552235,0.00002431718,0.0006025547,0.0003245041,0.000009780484,0.00001363369,0.00002292178,0.00003919116,0.0000642926,0.0001506776,0.9970436,0.001628994],"study_design_scores_gemma":[0.0006893615,0.0000784272,0.009420846,0.0004435278,0.00004171271,0.00008089059,0.00021626,0.0002458044,0.0004112792,0.00183106,0.9864916,0.00004916215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001625837,0.00002842654,0.00005165685,0.00008646218,0.00005735987,0.00002421618,0.9986268,0.0002467096,0.0007157338],"genre_scores_gemma":[0.000662736,0.00003177273,0.0002790511,0.00009233328,0.00002423536,0.0002895503,0.9963968,0.00009521248,0.002128363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7806507,"threshold_uncertainty_score":0,"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."}}