{"id":"W4393405087","doi":"10.1109/msec.2024.3359791","title":"Table of Contents","year":2024,"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":[0.0003341653,0.0001038992,0.0003125011,0.0001520981,0.00005539487,0.00008643733,0.0002647908,0.00005027707,0.003807896],"category_scores_gemma":[0.00005581977,0.0001166352,0.0001238029,0.0002083161,0.00009810118,0.0002779879,0.00009730083,0.0000917876,0.01031899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003900012,"about_ca_system_score_gemma":0.00001409417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002483359,"about_ca_topic_score_gemma":0.000005361587,"domain_scores_codex":[0.9989451,0.000004554046,0.0004209972,0.000373038,0.0000288068,0.0002275117],"domain_scores_gemma":[0.9995,0.00003455543,0.0001028907,0.0002877597,0.00002288401,0.00005193078],"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":[0.00001317405,0.0001294269,0.006600877,0.0002088312,0.0002884253,0.00001259883,0.005745663,0.0000157742,0.0001222764,0.3495237,0.6366033,0.0007359277],"study_design_scores_gemma":[0.0002650685,0.00002496567,0.0005642932,0.00004209947,0.000009013314,0.000002037027,0.0002083585,0.001347914,0.001045091,0.04804238,0.9482602,0.0001886015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3955534,0.01182797,0.0004526986,0.0005468003,0.01127517,0.0002546665,0.001251535,0.0001337513,0.578704],"genre_scores_gemma":[0.9595289,0.0003283559,0.00007518477,0.00007160496,0.00009668696,0.00000679051,0.000004721903,0.00001175595,0.03987595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5639756,"threshold_uncertainty_score":0.9971027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05067241403211527,"score_gpt":0.2354871060733364,"score_spread":0.1848146920412211,"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."}}