{"id":"W4287826022","doi":"10.5281/zenodo.3712472","title":"Short Percussive Samples Seperated by Category","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Psychology","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":["insufficient_payload"],"category_scores_codex":[0.0001929837,0.0001176277,0.0001108603,0.00007343568,0.001228815,0.0008949516,0.001217066,0.00005416757,0.003538389],"category_scores_gemma":[0.0002389054,0.0001131601,0.00003859074,0.0005113557,0.00006313952,0.0005195736,0.0009800743,0.0002053082,0.008252921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004245078,"about_ca_system_score_gemma":0.000003539964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008010777,"about_ca_topic_score_gemma":4.355684e-8,"domain_scores_codex":[0.998594,0.000215362,0.0001729994,0.0004452477,0.0002993625,0.0002729629],"domain_scores_gemma":[0.9990562,0.00001581724,0.00003933594,0.00029184,0.0003475712,0.0002492109],"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":[0.00001813962,0.00005951266,0.000002881567,0.00002252344,0.00001843038,0.00001433631,0.002214527,0.0000386623,0.07050549,0.001687375,0.7819054,0.1435127],"study_design_scores_gemma":[0.0002291124,0.0001606937,0.0001405671,0.00001272414,0.000004711284,0.00003480068,0.0003174407,0.004817856,0.01008731,0.000141762,0.9838608,0.0001922383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09338421,0.0004113064,0.7203383,0.02885696,0.000370708,0.001346406,0.000684335,0.007320671,0.1472871],"genre_scores_gemma":[0.9951273,0.00007471329,0.001108249,0.001474341,0.00008854575,4.865246e-8,0.001397646,0.0004629448,0.0002661669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9017431,"threshold_uncertainty_score":0.9973725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04989780057778736,"score_gpt":0.2386715837198796,"score_spread":0.1887737831420922,"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."}}