{"id":"W4239375881","doi":"10.1002/sam.11423","title":"Issue Information","year":2020,"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":"University of Waterloo; Université de Montréal","funders":"","keywords":"Computer science; Information retrieval; Citation; World Wide Web; Data science","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":[0.002903897,0.0001948199,0.0003466452,0.0003779659,0.00069559,0.001870182,0.003068505,0.00007039502,0.03379505],"category_scores_gemma":[0.0008327688,0.0001305705,0.00002845804,0.001091779,0.0004457706,0.003432041,0.001176577,0.0005686318,0.01176779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005365627,"about_ca_system_score_gemma":0.0002064556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000713483,"about_ca_topic_score_gemma":0.00002633635,"domain_scores_codex":[0.9977275,0.00007698203,0.0005762596,0.000385075,0.0009466413,0.0002875694],"domain_scores_gemma":[0.9978197,0.0001555477,0.0001927827,0.00143486,0.0001203038,0.000276845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003064058,0.00000296138,0.00001370904,0.00002076768,0.0001680288,0.000001235604,0.0003552857,0.001089754,0.00001327562,0.000007894195,0.951629,0.04669497],"study_design_scores_gemma":[0.00005593878,0.00001197093,0.001340749,0.00001512985,0.0005728778,0.00001075287,0.000476873,0.5013105,5.014188e-7,0.0000138965,0.4960632,0.0001275373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.0003483468,0.0003356236,0.961793,0.001102543,0.003347484,0.0001288262,0.02464771,0.00004459183,0.008251859],"genre_scores_gemma":[0.05777293,0.03127204,0.3930459,0.005940717,0.02361654,0.00002447565,0.4761647,0.0001928834,0.01196974],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5687471,"threshold_uncertainty_score":0.999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08550868619541674,"score_gpt":0.3686068909417464,"score_spread":0.2830982047463297,"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."}}