{"id":"W4391291548","doi":"","title":"Noisemonitor : A Python Package for Sound Level Monitor Analysis","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Python (programming language); Computer science; Operating system; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.003310141,0.0001861021,0.0002613556,0.0003662392,0.0006129248,0.0006658001,0.001392736,0.00009245204,0.00002401114],"category_scores_gemma":[0.0007567587,0.000187541,0.0002420976,0.002508978,0.00009529202,0.0004071518,0.0004819178,0.0001379271,0.00008838453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005270899,"about_ca_system_score_gemma":0.0001038358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001338252,"about_ca_topic_score_gemma":0.0002491384,"domain_scores_codex":[0.9974017,0.0008879261,0.000325982,0.000610997,0.000357534,0.0004158237],"domain_scores_gemma":[0.9958667,0.001265284,0.0002337942,0.001435083,0.001039948,0.0001592533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002418455,0.0008074819,0.0166532,0.0003250084,0.0008179448,0.00002530042,0.03781194,0.0002786839,0.03651711,0.2138885,0.02623452,0.6666161],"study_design_scores_gemma":[0.002117188,0.000002275373,0.06853271,0.0006910071,0.0004027033,0.00001212417,0.0005814874,0.5540844,0.2891867,0.03775521,0.04504572,0.001588499],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06240871,0.0001394306,0.9226262,0.009963908,0.0001878271,0.0002014948,0.00003155457,0.0005009436,0.003939956],"genre_scores_gemma":[0.8451909,0.00004091995,0.1429189,0.0001789566,0.0000466347,0.00007031308,0.00009992436,0.00002391859,0.01142959],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7827821,"threshold_uncertainty_score":0.7647702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254173087528079,"score_gpt":0.2619512445510629,"score_spread":0.2294095136757821,"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."}}