{"id":"W2285540944","doi":"10.5281/zenodo.18369","title":"librosa: v0.4.0","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Educational Technology in Learning","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","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":["insufficient_payload"],"category_scores_codex":[0.0007209452,0.00009346366,0.00008609737,0.0002243064,0.001018797,0.0007299445,0.002368919,0.00006473535,0.001041958],"category_scores_gemma":[0.001161784,0.0001016443,0.00002659773,0.0007580201,0.0001302975,0.0005522784,0.001920286,0.0002897611,0.01502968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332386,"about_ca_system_score_gemma":0.00001043633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004268647,"about_ca_topic_score_gemma":3.366074e-8,"domain_scores_codex":[0.9986295,0.0002017089,0.0001583175,0.0003662541,0.0003537726,0.0002904908],"domain_scores_gemma":[0.9985105,0.0000250278,0.00007466453,0.0006316277,0.0005696716,0.0001885114],"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":[0.000008980504,0.0001271026,0.00002212326,0.00001163369,0.00002255349,0.00001487177,0.00262147,0.0001416062,0.001228657,0.302811,0.5657985,0.1271915],"study_design_scores_gemma":[0.0002198651,0.0001315077,0.0003674861,0.00000865758,0.000002111643,0.0001703573,0.0002447281,0.001342545,0.000406691,0.004862275,0.9921214,0.0001224007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03840279,0.0003204374,0.3419322,0.02735996,0.0009414809,0.0005974388,0.00002924823,0.009849469,0.580567],"genre_scores_gemma":[0.9686037,0.00002124328,0.02600718,0.0005551892,0.0002570772,6.291803e-8,0.0002895515,0.0009835394,0.003282503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9302009,"threshold_uncertainty_score":0.9998713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06340434173655263,"score_gpt":0.2702239044932483,"score_spread":0.2068195627566957,"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."}}