{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002448408,0.00009727709,0.0003786867,0.00007142602,0.00007274196,0.00004303884,0.0002351575,0.0000512746,0.005484817],"category_scores_gemma":[0.000142814,0.0001212748,0.0001188263,0.0001923907,0.00008655631,0.000194638,0.0001422903,0.00007627415,0.004328301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003123383,"about_ca_system_score_gemma":0.00002120731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001679024,"about_ca_topic_score_gemma":0.0000124962,"domain_scores_codex":[0.9989194,0.00000770647,0.000444208,0.00036418,0.00003009689,0.0002343782],"domain_scores_gemma":[0.9992313,0.00002736156,0.0002172142,0.0003972472,0.00006786811,0.0000589964],"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":[0.00003052024,0.0006519296,0.07254069,0.0001556782,0.000469199,0.00003571648,0.007426258,0.00003812729,0.000674806,0.30135,0.6160246,0.0006025229],"study_design_scores_gemma":[0.001004204,0.00002512249,0.003743622,0.00002465986,0.00001146059,0.000004883498,0.000696666,0.0002960167,0.01061488,0.04602513,0.9372541,0.0002992078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.536418,0.003291203,0.0002077332,0.0003891487,0.004194289,0.0001188091,0.0007044539,0.00003355016,0.4546428],"genre_scores_gemma":[0.9557223,0.0003137804,0.0001926446,0.0001705839,0.00006416562,0.00000459687,0.00000873489,0.000008988341,0.04351416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4193043,"threshold_uncertainty_score":0.996447,"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."}}