{"id":"W4398960794","doi":"10.7910/dvn/vvxwzo/exn6w4","title":"p04.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; Computer security; Internet privacy; Psychology; Biology; 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":[0.002053604,0.003282314,0.001289454,0.003782655,0.001306873,0.00275754,0.002413968,0.003026889,0.1756473],"category_scores_gemma":[0.01371016,0.0007062353,0.001687056,0.003355381,0.0006459496,0.001288536,0.002308526,0.001681702,0.2414406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111726,"about_ca_system_score_gemma":0.003700218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02040558,"about_ca_topic_score_gemma":0.03640147,"domain_scores_codex":[0.9986032,0.0002323786,0.0001351759,0.0004347426,0.000287761,0.0003067617],"domain_scores_gemma":[0.9955562,0.001358488,0.0002613552,0.001014512,0.001322187,0.0004872938],"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":[0.00008377954,0.00003875543,0.0007495853,0.0003201909,0.00001315568,0.00001428272,0.000027062,0.00007669529,0.00007947291,0.0001948936,0.9964603,0.001941935],"study_design_scores_gemma":[0.0008532546,0.0001071368,0.008846055,0.0004671004,0.00005721923,0.0000832353,0.0002320356,0.0005219814,0.0005031531,0.002121284,0.9861456,0.00006191519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001897224,0.0000315553,0.00007030857,0.00008823701,0.00006513689,0.00002722931,0.9984624,0.0003995424,0.0006657615],"genre_scores_gemma":[0.0006235639,0.000034128,0.0003887686,0.00008526384,0.00002577724,0.0002306418,0.9966701,0.0001103111,0.001831433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8243526,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444795417446025,"score_gpt":0.2529510620220633,"score_spread":0.2285031078476031,"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."}}