{"id":"W4213024521","doi":"10.1109/mc.2019.2929603","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"Computer","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003950783,0.001338633,0.001186642,0.004711133,0.0009802468,0.004044444,0.001491298,0.0009218596,0.9045242],"category_scores_gemma":[0.005796192,0.0003469227,0.0005176417,0.004023428,0.0003435301,0.002419603,0.001612578,0.0009480268,0.884612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068877,"about_ca_system_score_gemma":0.001277465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349878,"about_ca_topic_score_gemma":0.00238065,"domain_scores_codex":[0.9995235,0.00006898832,0.00002578338,0.0001054203,0.0002308026,0.00004558041],"domain_scores_gemma":[0.9973431,0.0006175667,0.0001110172,0.0004277653,0.001073548,0.0004268558],"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":[0.00001793044,0.0000252798,0.0001035621,0.0001232452,0.000003716203,0.00001209011,0.000007056905,0.0001266758,0.0001828519,0.001315779,0.9353489,0.06273292],"study_design_scores_gemma":[0.00001105014,0.00001563071,0.0003323375,0.0001353698,0.000005446368,0.00003765678,0.00001633169,0.0002237569,0.0002555399,0.001844783,0.9971145,0.000007524658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004959467,0.001475918,0.005038101,0.001486363,0.0025564,0.0004965774,0.05476015,0.007401906,0.9262887],"genre_scores_gemma":[0.00310223,0.001704447,0.003122135,0.001528581,0.001671265,0.000452647,0.04955931,0.003190677,0.9356687],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09547579,"threshold_uncertainty_score":0.1361846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04180675522055568,"score_gpt":0.1835961512238383,"score_spread":0.1417893960032827,"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."}}