{"id":"W4255912667","doi":"10.1109/tccn.2016.2588619","title":"IEEE Communications Society","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Telecommunications; Computer network","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":[0.0002591773,0.0001743516,0.0001457787,0.00009027019,0.0008148733,0.00005235713,0.0003738694,0.0001030705,0.0005605992],"category_scores_gemma":[0.000002297006,0.00015413,0.0001109026,0.0002172189,0.0003743159,0.0002132158,0.000007644718,0.000296698,0.0005414258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009448097,"about_ca_system_score_gemma":0.000018153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001378345,"about_ca_topic_score_gemma":0.0001050244,"domain_scores_codex":[0.9990712,0.0001421921,0.0002664558,0.0001738958,0.0001317804,0.000214456],"domain_scores_gemma":[0.9981422,0.0006572936,0.00004553673,0.0009378937,0.0001243745,0.00009270368],"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":[0.00001152026,0.0001223238,0.00004856965,0.0000169822,0.0001526715,1.640149e-7,0.001086006,0.0002749176,0.005892736,0.00003986815,0.002908827,0.9894454],"study_design_scores_gemma":[0.005303838,0.0003600016,0.002167237,0.00278626,0.0006758325,0.00004333395,0.002860584,0.6575415,0.006581422,0.001506654,0.317941,0.00223238],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01209024,0.001362254,0.9754626,0.0009298999,0.0008382642,0.0003665327,0.00007281444,0.0006047437,0.008272712],"genre_scores_gemma":[0.9610117,0.03650223,0.001454765,0.0002401137,0.0001328717,0.000174391,0.00001132705,0.00003832141,0.0004342543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.987213,"threshold_uncertainty_score":0.6959114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08201597976743152,"score_gpt":0.3027782085864453,"score_spread":0.2207622288190138,"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."}}