{"id":"W4210743149","doi":"10.1109/msec.2021.3075633","title":"Table of Contents","year":2021,"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":[0.0007747089,0.001031337,0.001002595,0.005330248,0.001631588,0.004791755,0.001458066,0.001077821,0.8837281],"category_scores_gemma":[0.0103341,0.0003436859,0.000561334,0.003896653,0.0003810911,0.002194397,0.001773648,0.001203415,0.8497237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867509,"about_ca_system_score_gemma":0.00321026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005213818,"about_ca_topic_score_gemma":0.006872163,"domain_scores_codex":[0.9992614,0.00009241268,0.00003686623,0.0001167796,0.0004270833,0.00006548655],"domain_scores_gemma":[0.9951309,0.001004134,0.0002003391,0.0004827709,0.002531155,0.0006506846],"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":[0.00001184819,0.00002288581,0.0001031409,0.0001190028,0.000002569027,0.00001170559,0.000008444936,0.00009108883,0.00008885216,0.001126012,0.9624084,0.03600603],"study_design_scores_gemma":[0.000006378943,0.00001140475,0.0002818318,0.0001869304,0.000003727389,0.00002484292,0.00002389374,0.0000749414,0.0001066947,0.001398412,0.9978747,0.000006147325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004243826,0.002563072,0.003309754,0.003331095,0.007803302,0.0007141361,0.07082152,0.002837484,0.9081951],"genre_scores_gemma":[0.002093594,0.002794957,0.002038963,0.002752271,0.002391014,0.0005990539,0.04822097,0.00144195,0.9376672],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1162719,"threshold_uncertainty_score":0.1658476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05353399542853585,"score_gpt":0.2271706564559782,"score_spread":0.1736366610274424,"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."}}