{"id":"W4233816949","doi":"10.1109/msec.2018.2882149","title":"Table of Contents","year":2018,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Niagara","funders":"","keywords":"Table (database); Computer science; Database","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":["insufficient_payload"],"category_scores_codex":[0.0008234509,0.001054683,0.001034489,0.005552247,0.001631647,0.00482933,0.001486393,0.001130286,0.8774165],"category_scores_gemma":[0.01131284,0.0003468443,0.0005649122,0.004037804,0.0004066285,0.002327331,0.001788057,0.001233961,0.840273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951612,"about_ca_system_score_gemma":0.003229668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004969686,"about_ca_topic_score_gemma":0.006456139,"domain_scores_codex":[0.9992335,0.0001009719,0.00003930996,0.0001218368,0.0004373605,0.00006697015],"domain_scores_gemma":[0.9949687,0.001087924,0.0002204924,0.0005310607,0.002535588,0.0006562328],"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":[0.00001243553,0.00002453258,0.0001038589,0.0001273642,0.000002794683,0.0000122865,0.000008930772,0.00009717148,0.00009109527,0.001311879,0.9618021,0.03640554],"study_design_scores_gemma":[0.000006134204,0.0000114537,0.0002787627,0.0001960641,0.000003971243,0.00002608943,0.00002410865,0.0000816449,0.0001153139,0.001657289,0.9975926,0.000006469391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004598823,0.003058509,0.00375735,0.003685284,0.008935219,0.0007424442,0.0722725,0.002820333,0.9042684],"genre_scores_gemma":[0.002396194,0.003145121,0.002241839,0.002919236,0.002832139,0.0006281045,0.04966334,0.001562,0.934612],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1225835,"threshold_uncertainty_score":0.1748504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05499807073998909,"score_gpt":0.2348444951573191,"score_spread":0.17984642441733,"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."}}