{"id":"W4323038447","doi":"10.1109/mc.2022.3231147","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"Computer","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":"Computer science; Table (database); Computer graphics (images); 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":[0.0001575614,0.00004279774,0.000172294,0.000102766,0.00003319047,0.0000163415,0.0001177421,0.00001809399,0.00162123],"category_scores_gemma":[0.0000085398,0.00004786448,0.00004541572,0.0001674679,0.00003996561,0.00006642165,0.0001103173,0.00001997364,0.02580233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007608241,"about_ca_system_score_gemma":0.000001959695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002771593,"about_ca_topic_score_gemma":6.275091e-7,"domain_scores_codex":[0.9994898,0.000001519159,0.0002045898,0.0001648219,0.00001038812,0.0001289217],"domain_scores_gemma":[0.9997315,0.00001534608,0.00008277472,0.0001359002,0.00001274607,0.00002170727],"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":[0.000002109289,0.0000178411,0.02127016,0.00001173787,0.0000431484,0.00000153929,0.0002967984,0.0001764213,0.000005411978,0.07872342,0.8986983,0.0007531705],"study_design_scores_gemma":[0.0004458574,0.00002403236,0.03417273,0.000009194843,0.000001865141,4.895566e-7,0.00008694717,0.01611398,0.00006027737,0.006184051,0.9427682,0.0001324177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2327704,0.000651915,0.005085887,0.0004244805,0.01153084,0.000201967,0.0005393139,0.0001718429,0.7486233],"genre_scores_gemma":[0.7588745,0.00009025521,0.000820506,0.0002115693,0.0001472364,0.00000605477,0.00001247866,0.00001042812,0.2398269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5261041,"threshold_uncertainty_score":0.9992914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0828840199289619,"score_gpt":0.2078413954678673,"score_spread":0.1249573755389054,"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."}}