{"id":"W4210801512","doi":"10.1109/mias.2021.3131786","title":"Table of Contents","year":2022,"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":"Concordia University","funders":"","keywords":"Table (database); Computer science; Engineering; Process engineering; Manufacturing engineering; 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":[0.0002739273,0.00007351142,0.0002158291,0.0001267258,0.0002150378,0.00001472196,0.0002897994,0.0000508726,0.01462349],"category_scores_gemma":[0.00001117398,0.00009747831,0.00005078181,0.0003983608,0.00008474158,0.00008182078,0.0001200488,0.0002154142,0.004636145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005821135,"about_ca_system_score_gemma":0.00001348829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004744901,"about_ca_topic_score_gemma":0.000001172846,"domain_scores_codex":[0.9991238,0.000005403599,0.000395886,0.0002826478,0.00003157699,0.0001607336],"domain_scores_gemma":[0.9992923,0.0000178611,0.0002831722,0.0003376963,0.00002663635,0.00004240851],"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":[0.00001125629,0.0003487364,0.01800057,0.00001650055,0.00009240137,9.883425e-7,0.0001662871,0.001748952,0.0003949113,0.1862995,0.792259,0.0006609019],"study_design_scores_gemma":[0.0002945001,0.00001772599,0.001378185,0.00000113993,0.000004348284,0.000002525281,0.0002915167,0.000250841,0.0001701115,0.003581727,0.9938998,0.0001075488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04214318,0.0007033896,0.001720789,0.00069906,0.001400887,0.0005726467,0.003798908,0.00005811242,0.948903],"genre_scores_gemma":[0.7095901,0.00001659877,0.0001970444,0.0001559854,0.0000675948,0.0004495458,0.0000237231,0.00001040102,0.289489],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.667447,"threshold_uncertainty_score":0.9961389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0577639624094109,"score_gpt":0.2322077511366974,"score_spread":0.1744437887272865,"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."}}