{"id":"W4319722762","doi":"10.1101/2023.02.08.527708","title":"Eye movements decrease during effortful speech listening","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; William Demant Fonden; Ministerio de Economía y Competitividad","keywords":"Pupillometry; Active listening; Psychology; Gaze; Eye movement; Eye tracking; Fixation (population genetics); Cognitive psychology; Prosody; Speech recognition; Communication; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003523664,0.0003137803,0.0002191065,0.0002904476,0.000160025,0.0003448208,0.0001625226,0.000350773,0.002184042],"category_scores_gemma":[0.003391704,0.0001261052,0.0001245399,0.00008053579,0.0002682405,0.0002640467,0.0003889752,0.0002632496,0.0002164204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123301,"about_ca_system_score_gemma":0.00007057167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004037141,"about_ca_topic_score_gemma":0.0004474084,"domain_scores_codex":[0.9996777,0.00008505053,0.00003480757,0.00008890407,0.00008611482,0.00002742428],"domain_scores_gemma":[0.9986517,0.0005686097,0.0004486111,0.0001083271,0.0001635013,0.00005941961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00216276,0.000129867,0.0408521,0.0002722099,0.0000872359,0.0005217359,0.001428721,0.0001927873,0.92555,0.000154742,0.0003562894,0.02829148],"study_design_scores_gemma":[0.00005695407,0.001747821,0.9176049,0.00004119199,0.00006692104,0.001419502,0.00059986,0.0008882943,0.07603075,0.0003281306,0.001194759,0.00002096562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961479,0.0003409274,0.002266511,0.00004971946,0.00001453612,0.00002620819,0.00009129055,0.00004217882,0.001020751],"genre_scores_gemma":[0.998528,0.0000937447,0.0006392382,0.00006410159,0.00001377076,0.0000324008,0.00006564819,0.000007547399,0.0005554148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002184042,"threshold_uncertainty_score":0.007306337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560444954970047,"score_gpt":0.260102650906479,"score_spread":0.2344982013567786,"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."}}