{"id":"W1509974741","doi":"10.4995/thesis/10251/18221","title":"ANÁLISIS DE LA ACÚSTICA DE SALAS MEDIANTE LA UTILIZACIÓN DE ARRAYS DE MICRÓFONOS CIRCULARES","year":2012,"lang":"es","type":"dissertation","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Humanities; Art","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":[0.0004909313,0.0003641678,0.0004898744,0.0006637094,0.0005676546,0.001192274,0.000542992,0.0007049832,0.006338967],"category_scores_gemma":[0.001455989,0.0003295282,0.0007279089,0.001088732,0.0005253276,0.0009468019,0.0006589772,0.0005349324,0.0009914378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007832107,"about_ca_system_score_gemma":0.0006569861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00651327,"about_ca_topic_score_gemma":0.01297506,"domain_scores_codex":[0.9994152,0.00005985357,0.00002743957,0.0001618113,0.0002554065,0.00008039421],"domain_scores_gemma":[0.9986712,0.0003838413,0.0002435066,0.0001121738,0.0005410991,0.00004833077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001764656,0.0003242206,0.09716227,0.001858195,0.0002977594,0.0003061671,0.003015608,0.01118122,0.6984473,0.003085041,0.001625596,0.1809319],"study_design_scores_gemma":[0.00008621764,0.004520203,0.2812321,0.0003311604,0.0005482383,0.0004795191,0.01071621,0.02550419,0.6040918,0.00331272,0.0689233,0.0002543636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9578655,0.002107047,0.02893039,0.0003463831,0.00009826662,0.0001199693,0.001007425,0.0002342251,0.009290632],"genre_scores_gemma":[0.9679658,0.001268552,0.01866023,0.0001747898,0.00002102752,0.0001639567,0.0004663203,0.00007670307,0.01120263],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00651327,"threshold_uncertainty_score":0.0212059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032446460339453,"score_gpt":0.2920866869651874,"score_spread":0.2817622223617928,"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."}}