{"id":"W4391418244","doi":"10.1109/mias.2023.3348958","title":"Table of Contents","year":2024,"lang":"en","type":"article","venue":"IEEE Industry Applications Magazine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Calgary","funders":"","keywords":"Table (database); Table of contents; Computer science; Engineering; Engineering drawing; Database; Operating system","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":[0.0002021403,0.00008299001,0.000203566,0.000148837,0.00005651087,0.00005153917,0.000182647,0.0001140415,0.00458068],"category_scores_gemma":[0.00001238571,0.00009466045,0.00005786308,0.0004044547,0.0001059043,0.0001507097,0.00003567769,0.0001679767,0.02506487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003364869,"about_ca_system_score_gemma":0.00001460585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000302115,"about_ca_topic_score_gemma":0.000001561725,"domain_scores_codex":[0.9991203,0.000002176835,0.0003864176,0.0003165211,0.00002060755,0.0001539813],"domain_scores_gemma":[0.999516,0.00002606933,0.0001025022,0.000280803,0.00002824928,0.00004641905],"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":[0.000002805952,0.00008770108,0.00277272,0.00006324572,0.0001086632,0.000001495895,0.0001039987,0.0001136248,0.0003925195,0.34403,0.650692,0.001631128],"study_design_scores_gemma":[0.0001150272,0.000008190234,0.0006157479,0.00001499955,0.000006905459,0.000002162724,0.00006735452,0.0007269178,0.0004240485,0.006399089,0.9915149,0.0001046311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01205312,0.003036468,0.005978034,0.0007176105,0.001850003,0.0003851546,0.001698232,0.0001156322,0.9741657],"genre_scores_gemma":[0.6286994,0.0000884153,0.0002804844,0.0000691391,0.0001673429,0.0001459587,0.00001445146,0.00001356436,0.3705212],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6166463,"threshold_uncertainty_score":0.9963292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05815692941050651,"score_gpt":0.2482665770227275,"score_spread":0.190109647612221,"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."}}