{"id":"W4211026530","doi":"10.1109/tcomm.2021.3075507","title":"IEEE Communications Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Chinese University of Hong Kong; National University of Singapore","keywords":"Computer science; Telecommunications; Electronic engineering; Electrical engineering; Engineering","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":[0.000191046,0.0001732586,0.0001596478,0.0000837524,0.000838845,0.00007738938,0.0008621698,0.0001311274,0.003883054],"category_scores_gemma":[0.000004922485,0.0002130545,0.0002349891,0.0004557978,0.0002128852,0.0002151207,0.000006959119,0.0006137213,0.004285212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043861,"about_ca_system_score_gemma":0.00008245341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002449257,"about_ca_topic_score_gemma":0.000310588,"domain_scores_codex":[0.9988859,0.0001790393,0.0003422486,0.0001740763,0.0002119469,0.0002067807],"domain_scores_gemma":[0.9958261,0.0002226984,0.00003581,0.00361139,0.0001974114,0.0001065986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001663246,0.002980898,0.00004193537,0.0001787958,0.001112956,0.000003144766,0.01358782,0.3378065,0.1829671,0.001429647,0.3119542,0.1479203],"study_design_scores_gemma":[0.0009572582,0.00004180344,0.0006068222,0.00009933039,0.0002028326,0.0000314948,0.001714951,0.5870868,0.01979434,0.0006486707,0.388072,0.0007437731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0086207,0.0009487246,0.9198116,0.005194308,0.002160358,0.0004409437,0.000188969,0.002015207,0.06061921],"genre_scores_gemma":[0.9713884,0.006745856,0.01714806,0.0004933623,0.00007645709,0.0002421839,0.00009558107,0.00005986603,0.003750249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9627677,"threshold_uncertainty_score":0.9970275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08469967876516518,"score_gpt":0.3152166116791916,"score_spread":0.2305169329140264,"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."}}