{"id":"W4319879118","doi":"10.1109/mc.2022.3219702","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); 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":[0.0003926097,0.001332189,0.00119474,0.004589065,0.000991993,0.004085617,0.001472575,0.0009109132,0.9070637],"category_scores_gemma":[0.005803533,0.0003575952,0.0005159169,0.00399368,0.0003431303,0.002434072,0.001614886,0.0009673214,0.8893363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080162,"about_ca_system_score_gemma":0.001288947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002436627,"about_ca_topic_score_gemma":0.002484816,"domain_scores_codex":[0.9995295,0.00006751824,0.00002484675,0.000104979,0.0002274537,0.00004565481],"domain_scores_gemma":[0.9973193,0.000630844,0.0001101609,0.0004251267,0.001078144,0.0004364827],"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":[0.00001660051,0.00002440813,0.0001021021,0.000116011,0.000003454039,0.00001148654,0.000006953006,0.0001205251,0.0001732638,0.001253582,0.9393734,0.05879824],"study_design_scores_gemma":[0.00001086995,0.00001510731,0.0003320981,0.0001311019,0.000005171727,0.00003595578,0.00001657578,0.0002165454,0.0002469305,0.001768666,0.9972138,0.000007261407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004807001,0.001355461,0.004834406,0.001463416,0.002407475,0.0004912748,0.05481106,0.007471921,0.9266843],"genre_scores_gemma":[0.002927008,0.001592389,0.002902244,0.001550241,0.001590897,0.000437875,0.04733764,0.003224032,0.9384376],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09293628,"threshold_uncertainty_score":0.1325622,"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."}}