{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"308211107e81","filters":{"venue":"Non-Linear Speech Processing"}},"results":[{"id":"W17808263","doi":"10.1126/science.243.4896.1294","title":"Double-vowel segregation through temporal correlation: a bio-inspired neural network paradigm.","year":2003,"lang":"en","type":"article","venue":"Non-Linear Speech Processing","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Speech recognition; Computer science; Artificial neural network; Vowel; Channel (broadcasting); Layer (electronics); Computational auditory scene analysis; Filter (signal processing); Filter bank; Correlation; Formant; Pattern recognition (psychology); Artificial intelligence; Mathematics; Computer vision; Telecommunications","authors":[{"name":"Ramin Pichevar","is_ca":true},{"name":"Jean Rouat","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05749663222801536,"gpt":0.320620397427545,"spread":0.2631237651995296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001910251,0.0003143744,0.0002454813,0.0001537411,0.0001384447,0.0003215637,0.0006435951,0.0005463796,0.000643336],"category_scores_gemma":[0.0003485563,0.0001249368,0.0003359166,0.0002375485,0.0002734298,0.0005015623,0.0003929516,0.0004019371,0.0001230606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002675553,"about_ca_system_score_gemma":0.0002706827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006998412,"about_ca_topic_score_gemma":0.001341032,"domain_scores_codex":[0.9999526,0.00001032769,0.000003123246,0.00001268705,0.00001494233,0.00000647878],"domain_scores_gemma":[0.9999466,0.00001748628,0.00001261715,0.000005789131,0.000009321534,0.000008189561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003133297,0.0001658655,0.001526934,0.0003899793,0.000204945,0.0006535192,0.0001848622,0.4485723,0.2808231,0.1028461,0.002873477,0.1614456],"study_design_scores_gemma":[0.00001293507,0.00004049074,0.0003416496,0.000006165848,0.00001630393,0.00008749921,0.000009159224,0.9794292,0.006095964,0.01296784,0.0009852966,0.000007518538],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05022953,0.0008885346,0.9436788,0.0003962576,0.0001114207,0.0000642344,0.00007359392,0.0002001484,0.004357533],"genre_scores_gemma":[0.7556605,0.0007726218,0.2391477,0.0001648089,0.00006695277,0.0001619189,0.00009934312,0.0000433495,0.003882888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006998412,"threshold_uncertainty_score":0.002152205,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}