{"id":"W4387628534","doi":"10.1109/mias.2023.3313480","title":"Table of Contents","year":2023,"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; University of Calgary; McMaster University","funders":"","keywords":"Table (database); Engineering; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006019177,0.001049009,0.0009342498,0.005229541,0.001536238,0.004178341,0.001318341,0.0009310964,0.8593315],"category_scores_gemma":[0.00665919,0.0003064817,0.0005325485,0.003593987,0.0003196037,0.001871887,0.001547048,0.001116603,0.833688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546894,"about_ca_system_score_gemma":0.002940129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004690073,"about_ca_topic_score_gemma":0.007159599,"domain_scores_codex":[0.9994098,0.00006501087,0.0000283347,0.0000955936,0.0003488815,0.00005241745],"domain_scores_gemma":[0.9964908,0.0006107072,0.0001359194,0.0002975377,0.001942134,0.0005230038],"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":[0.00001153136,0.00002449777,0.0001015697,0.0001180921,0.000002460692,0.00001328701,0.000007458882,0.00007545966,0.0001094383,0.0008144803,0.9545686,0.04415306],"study_design_scores_gemma":[0.000005279935,0.00001256694,0.0003266378,0.0001652512,0.00000359937,0.00002670086,0.00002159048,0.00005664158,0.00009890419,0.0008954395,0.9983823,0.000005090119],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004439319,0.003248188,0.002495393,0.003099717,0.009089331,0.0005756233,0.04306001,0.002199519,0.9357883],"genre_scores_gemma":[0.001588821,0.002958115,0.001409308,0.002208264,0.002421624,0.0003623156,0.02945239,0.0009088299,0.9586904],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1406685,"threshold_uncertainty_score":0.2006465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07804833365219924,"score_gpt":0.2516730869785028,"score_spread":0.1736247533263036,"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."}}