{"id":"W4246251364","doi":"10.1109/itherm51669.2021.9503274","title":"Table of Contents","year":2021,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada); University of British Columbia; McMaster University","funders":"","keywords":"Table (database); Computer science; Information retrieval; 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":[0.001576637,0.0009280899,0.0006482769,0.004305054,0.00150157,0.004230312,0.001784435,0.001321537,0.6209658],"category_scores_gemma":[0.01206911,0.0003425468,0.0006141347,0.004069233,0.0006525429,0.002751333,0.001793236,0.00206224,0.4417467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003009655,"about_ca_system_score_gemma":0.002958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005029242,"about_ca_topic_score_gemma":0.005987713,"domain_scores_codex":[0.9991037,0.0001867091,0.00005801025,0.0001497748,0.0004418256,0.00005989761],"domain_scores_gemma":[0.9952877,0.001368879,0.0001980155,0.000443654,0.002323113,0.0003786076],"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":[0.00001199854,0.00001484912,0.00009748023,0.0002326091,0.000004136114,0.0000184376,0.00004452644,0.00006572541,0.00006713739,0.009074312,0.9442102,0.04615858],"study_design_scores_gemma":[0.000004015106,0.000007992106,0.0003308644,0.0003508453,0.000004313804,0.00007801072,0.00006893133,0.00005272909,0.00006991762,0.005499756,0.9935262,0.000006360164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006337737,0.0173977,0.01088525,0.02451685,0.0235994,0.0006144738,0.02795879,0.001724362,0.8926693],"genre_scores_gemma":[0.00680295,0.02560776,0.01058801,0.01278936,0.01410943,0.0007728196,0.02805031,0.001438552,0.8998408],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3790342,"threshold_uncertainty_score":0.5406462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06986487373825205,"score_gpt":0.1997841556011979,"score_spread":0.1299192818629458,"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."}}