{"id":"W4234476537","doi":"10.1109/mwscas48704.2020.9184534","title":"MWSCAS 2020 Table of Contents","year":2020,"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":"University of Calgary","funders":"","keywords":"Table (database); Computer science; 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":[0.0007960371,0.0008130741,0.0006126028,0.004860235,0.001034865,0.005763855,0.001432951,0.001065888,0.7509639],"category_scores_gemma":[0.005693077,0.0002770646,0.0005513114,0.003456247,0.0002784095,0.002022657,0.001530271,0.001093289,0.6912262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864905,"about_ca_system_score_gemma":0.003099959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00704454,"about_ca_topic_score_gemma":0.00794104,"domain_scores_codex":[0.999403,0.0000592218,0.00002424404,0.0000695997,0.0003762273,0.00006771577],"domain_scores_gemma":[0.9964483,0.0002857363,0.0001745948,0.0003099107,0.002149177,0.0006322225],"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":[0.00001648443,0.000009212652,0.00008181171,0.00006343624,0.000001834066,0.00000749229,0.000003065162,0.0001053944,0.00007737781,0.002008731,0.9755799,0.02204528],"study_design_scores_gemma":[0.000004241757,0.00000495447,0.0002005574,0.00005703259,0.000001978528,0.00001066328,0.000008053879,0.0001063616,0.00007602471,0.001340398,0.9981861,0.000003653236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005144772,0.001285829,0.002416366,0.002807248,0.008598899,0.0001802139,0.08659159,0.005054854,0.8925506],"genre_scores_gemma":[0.003779398,0.001632078,0.003003901,0.001187949,0.002104831,0.0002068511,0.07352009,0.002379109,0.9121858],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2490361,"threshold_uncertainty_score":0.3552197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0840850589910744,"score_gpt":0.1945947338530894,"score_spread":0.110509674862015,"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."}}