{"id":"W4387449441","doi":"10.1109/eftf/ifcs57587.2023.10272058","title":"Front Matter","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Toronto","funders":"","keywords":"Courtesy; Front (military); Set (abstract data type); Computer science; Mode (computer interface); Computer graphics (images); Engineering; Human–computer interaction; Linguistics; Programming language; Mechanical engineering; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004645677,0.001171248,0.001061795,0.001190993,0.001536372,0.006209273,0.0009531049,0.003865693,0.9658513],"category_scores_gemma":[0.002257307,0.0005220255,0.0008304999,0.0005639026,0.0009174568,0.00153439,0.001479353,0.001920817,0.9581423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005898229,"about_ca_system_score_gemma":0.0009900966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001588816,"about_ca_topic_score_gemma":0.002930301,"domain_scores_codex":[0.9996079,0.00001777247,0.00001589529,0.0001341142,0.0001373838,0.00008698186],"domain_scores_gemma":[0.9987665,0.0002327571,0.00004674316,0.0001210073,0.0003133966,0.000519573],"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":[0.0001539293,0.0001658593,0.0004583906,0.0002367528,0.00001734617,0.0003403052,0.00006925056,0.00008880033,0.003544613,0.004215464,0.824746,0.1659633],"study_design_scores_gemma":[0.00002865646,0.00004808941,0.0007337494,0.00008143171,0.000004608632,0.0002048863,0.0000805025,0.00008696695,0.0004172778,0.0007458084,0.9975606,0.000007363055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004757207,0.0002843317,0.0004827972,0.001706038,0.00340753,0.00006155558,0.00111171,0.001056417,0.991414],"genre_scores_gemma":[0.0009330319,0.0001174725,0.0001365935,0.0004784735,0.0002357357,0.00001183997,0.0002611818,0.000141154,0.9976845],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03414869,"threshold_uncertainty_score":0.04870886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0363606388371755,"score_gpt":0.2831319942267963,"score_spread":0.2467713553896208,"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."}}