{"id":"W4206662956","doi":"10.1002/sam.11466","title":"Issue Information","year":2021,"lang":"en","type":"paratext","venue":"Statistical Analysis and Data Mining The ASA Data Science Journal","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Information retrieval","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003824405,0.0001900015,0.0003505646,0.0004356199,0.0007597795,0.002299066,0.002610616,0.00007897646,0.05425288],"category_scores_gemma":[0.0008384298,0.0001297037,0.0000309643,0.001146606,0.0004356836,0.003398759,0.001221357,0.0005339399,0.005597943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006378987,"about_ca_system_score_gemma":0.0002838371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009215492,"about_ca_topic_score_gemma":0.00005776683,"domain_scores_codex":[0.9976568,0.00009502706,0.0005800453,0.0003913939,0.0009691076,0.0003076094],"domain_scores_gemma":[0.9973861,0.0001779652,0.0001825041,0.001846162,0.0001914575,0.0002157986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001733122,0.000004640057,0.00001759694,0.00002070248,0.0001954233,0.000001974795,0.0002697796,0.001306839,0.0000162731,0.000007785901,0.9447384,0.0534188],"study_design_scores_gemma":[0.00006561381,0.000008788436,0.00222839,0.00003016775,0.0007125619,0.0000259337,0.0008728289,0.4657682,9.87719e-7,0.00001286957,0.5301157,0.0001579321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.0009498989,0.0008471753,0.9591712,0.0005487679,0.005025131,0.0001160989,0.02330065,0.00003590683,0.01000512],"genre_scores_gemma":[0.03013856,0.03949951,0.3476554,0.002714434,0.01614763,0.00002049979,0.5394098,0.0001438764,0.02427031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6115159,"threshold_uncertainty_score":0.9987366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07724045282164911,"score_gpt":0.3726486626682964,"score_spread":0.2954082098466473,"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."}}