{"id":"W4247919210","doi":"10.1109/ismvl.2019.00004","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto; Université de Sherbrooke; McMaster University; McGill University; University of Waterloo; Sunnybrook Research Institute; Université Laval","keywords":"Computer science; Table (database); Database","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006874376,0.001091692,0.001074463,0.005783527,0.001538097,0.004554572,0.001448184,0.001071224,0.9014202],"category_scores_gemma":[0.00733675,0.0003259522,0.000571059,0.004209957,0.0003738281,0.001917697,0.001906613,0.00115048,0.8635521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165873,"about_ca_system_score_gemma":0.002577694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003832939,"about_ca_topic_score_gemma":0.005642192,"domain_scores_codex":[0.9993715,0.00008772579,0.00003255608,0.000112732,0.0003384194,0.00005710659],"domain_scores_gemma":[0.9964253,0.0008065484,0.0001550257,0.0003649067,0.001704077,0.0005440852],"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":[0.00001652204,0.0000326982,0.0001423795,0.0001483931,0.000003133752,0.00001525916,0.00001119886,0.00007514532,0.00009788355,0.001232297,0.9549417,0.0432833],"study_design_scores_gemma":[0.000007005909,0.00001272184,0.0004320054,0.0001912225,0.000004096582,0.00003094396,0.00003144229,0.00005382804,0.0001027485,0.001421498,0.9977069,0.000005702394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004823079,0.002912407,0.002100451,0.002714748,0.007339747,0.0005682074,0.06836453,0.001972303,0.9135453],"genre_scores_gemma":[0.001908337,0.002382838,0.00140314,0.001877676,0.002163409,0.000383985,0.04016433,0.0009982378,0.9487181],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9014202,"threshold_uncertainty_score":0.1406122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674821119115839,"score_gpt":0.1872884533200886,"score_spread":0.1405402421289302,"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."}}