{"id":"W2912971336","doi":"10.1145/3251778","title":"Session details: Speech & Auditory Interfaces","year":2015,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Computer science; Speech recognition; Multimedia; World Wide Web","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":[0.0009329564,0.002166518,0.002595344,0.0007430235,0.001532891,0.003060503,0.001519298,0.00615214,0.8161626],"category_scores_gemma":[0.00166216,0.0003499683,0.001532572,0.0006211346,0.0005766882,0.001570504,0.001441326,0.002706763,0.6167134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003648456,"about_ca_system_score_gemma":0.0005804122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009434224,"about_ca_topic_score_gemma":0.00148982,"domain_scores_codex":[0.9996291,0.00004449808,0.00002827316,0.0000918499,0.0001003822,0.0001058841],"domain_scores_gemma":[0.9982874,0.0005803183,0.00003314773,0.0001693438,0.0004054608,0.0005242641],"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":[0.003139289,0.0008055131,0.0005864777,0.001372198,0.0001010163,0.0005849313,0.0001552484,0.0002295405,0.0343933,0.001356615,0.813164,0.1441118],"study_design_scores_gemma":[0.0003793897,0.001720842,0.004152836,0.0004262919,0.0001007785,0.001074238,0.0001792198,0.001018286,0.01034542,0.002089663,0.9784502,0.00006273143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01180962,0.0120361,0.02164534,0.007677004,0.052642,0.001910564,0.02092821,0.009686413,0.8616648],"genre_scores_gemma":[0.0365246,0.006125083,0.002535085,0.001483296,0.005602908,0.0004740607,0.004976298,0.001422396,0.9408563],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1838374,"threshold_uncertainty_score":0.2622217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07738289082967917,"score_gpt":0.2933072861296628,"score_spread":0.2159243952999836,"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."}}