{"id":"W4376606620","doi":"10.1109/saner56733.2023.00008","title":"Steering Committee","year":2023,"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 Waterloo; University of Alberta; Polytechnique Montréal","funders":"","keywords":"Computer science","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":[0.03863769,0.001656021,0.001728099,0.004347778,0.003275539,0.008729153,0.004013178,0.006855741,0.3747881],"category_scores_gemma":[0.06801185,0.00101175,0.002379971,0.001866621,0.001060144,0.003117838,0.00673119,0.005495794,0.3159201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003956768,"about_ca_system_score_gemma":0.01999646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00345582,"about_ca_topic_score_gemma":0.00696303,"domain_scores_codex":[0.9834758,0.005463556,0.001530518,0.001672353,0.00574466,0.002113057],"domain_scores_gemma":[0.9198338,0.006560496,0.003909753,0.004714909,0.04810338,0.01687775],"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":[0.0001267462,0.00002439317,0.0001382864,0.0002705688,0.000012568,0.00001717479,0.00002317987,0.00004026028,0.0001459509,0.0005990032,0.9757613,0.02284067],"study_design_scores_gemma":[0.0001234731,0.00003723707,0.0003936141,0.0004145851,0.00001711743,0.00003250465,0.0000569741,0.0000746103,0.0001690663,0.0009613141,0.9977082,0.00001133012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003133844,0.01366461,0.02446061,0.2277625,0.2297205,0.02465486,0.05690927,0.004467582,0.4152261],"genre_scores_gemma":[0.007119956,0.005831374,0.01126511,0.06552056,0.03835702,0.02323033,0.03891885,0.002558898,0.8071979],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.625212,"threshold_uncertainty_score":0.891789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07635933230272648,"score_gpt":0.2103383679306201,"score_spread":0.1339790356278936,"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."}}