{"id":"W4286530550","doi":"10.1109/saner53432.2022.00010","title":"Steering Committee","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004502881,0.0001638476,0.0003514096,0.0007848316,0.000324924,0.0001058151,0.0003409458,0.00003871349,0.009817176],"category_scores_gemma":[0.00004632025,0.0002001874,0.0001858936,0.000473197,0.00005527095,0.0001538124,0.0001882301,0.0002421782,0.0004243339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031827,"about_ca_system_score_gemma":0.00001465691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001838773,"about_ca_topic_score_gemma":0.00002026292,"domain_scores_codex":[0.9987087,0.00001488676,0.0004327484,0.0004899544,0.0001287714,0.0002249092],"domain_scores_gemma":[0.9994062,0.00003296614,0.0001982422,0.0002406305,0.0000448555,0.00007713206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005926882,0.0001907324,0.07281472,0.00002698678,0.003100025,0.0000207354,0.0008988056,0.1740999,0.00009514076,0.7026408,0.04513934,0.0009135514],"study_design_scores_gemma":[0.00134188,0.0001855427,0.05220264,0.00002714617,0.0002277537,0.00001683294,0.00311278,0.6083178,0.00002355919,0.006529587,0.3267461,0.001268382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2617362,0.005159488,0.4464649,0.003391984,0.02357728,0.0007575942,0.006102908,0.001008332,0.2518013],"genre_scores_gemma":[0.9593456,0.0001804969,0.0004887095,0.000131718,0.00009181172,0.00004250843,0.00007721067,0.00001369585,0.03962826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6976094,"threshold_uncertainty_score":0.991088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04613440184478606,"score_gpt":0.2344999976599664,"score_spread":0.1883655958151803,"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."}}