{"id":"W4393790547","doi":"10.5281/zenodo.8366377","title":"SUMO models","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundação para a Ciência e a Tecnologia","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":[],"consensus_categories":[],"category_scores_codex":[0.0008941559,0.002353653,0.001045206,0.001310231,0.0008516589,0.003187994,0.004141604,0.001794553,0.1776155],"category_scores_gemma":[0.004910692,0.000959399,0.00379515,0.001339103,0.0004510831,0.003788796,0.002773209,0.002697773,0.1210879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391048,"about_ca_system_score_gemma":0.00216433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152891,"about_ca_topic_score_gemma":0.02465452,"domain_scores_codex":[0.9992912,0.00009660756,0.00004473063,0.0002275865,0.0002386224,0.0001013733],"domain_scores_gemma":[0.9990145,0.0002676603,0.00003849817,0.00030293,0.000320323,0.00005611428],"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":[0.0002175388,0.0001201832,0.002051671,0.0006264373,0.0001476518,0.0001957049,0.00009430356,0.04288233,0.001196977,0.0328308,0.8419831,0.07765313],"study_design_scores_gemma":[0.0001280891,0.00004940691,0.0007899619,0.0001934848,0.00006058093,0.0002290132,0.000123115,0.1728876,0.002815231,0.05387657,0.7687887,0.00005824816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007367656,0.001685064,0.2642808,0.003553927,0.001649524,0.0006035934,0.4570126,0.131303,0.1325439],"genre_scores_gemma":[0.04601296,0.001644382,0.1403925,0.001840136,0.0002864034,0.001218287,0.6951166,0.02148989,0.09199891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1776155,"threshold_uncertainty_score":0.5941829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05862528670385947,"score_gpt":0.2618256822833008,"score_spread":0.2032003955794413,"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."}}