{"id":"W4394024755","doi":"10.5281/zenodo.3932885","title":"SECL-UMONS DATABASE FOR SOUND EVENT CLASSIFICATION AND LOCALIZATION","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Event (particle physics); Sound (geography); Computer science; Database; History; Geology; Oceanography; Physics","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":[0.001051686,0.005476176,0.002235234,0.00357953,0.001191946,0.001725482,0.004264872,0.003300535,0.01353336],"category_scores_gemma":[0.002530786,0.0006296755,0.001765044,0.003540341,0.0005859745,0.001307899,0.00211975,0.001815713,0.02841737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482184,"about_ca_system_score_gemma":0.001868871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02338275,"about_ca_topic_score_gemma":0.04578495,"domain_scores_codex":[0.9981658,0.0002953123,0.000208941,0.0005404298,0.0005501505,0.0002394173],"domain_scores_gemma":[0.9987593,0.000211501,0.00009856905,0.0003475873,0.0004120787,0.0001709657],"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":[0.0005356924,0.0003509028,0.002748411,0.001547124,0.0001455015,0.0003384509,0.00006948892,0.002676322,0.00266506,0.0006564658,0.9596069,0.02865974],"study_design_scores_gemma":[0.0008757638,0.0004954468,0.02623471,0.0006660443,0.0002250705,0.001404464,0.0005608235,0.02620009,0.009486045,0.003028254,0.9305755,0.00024769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007336038,0.001049126,0.002472513,0.0002278609,0.0002977656,0.0001956976,0.9806477,0.004904386,0.002868903],"genre_scores_gemma":[0.002123991,0.0001071611,0.001562695,0.00004529646,0.00001898968,0.0001221702,0.9952387,0.00006785396,0.0007130582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02338275,"threshold_uncertainty_score":0.04649329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07043567565804087,"score_gpt":0.2813781808732136,"score_spread":0.2109425052151727,"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."}}