{"id":"W1987533153","doi":"10.1068/p6359","title":"Duration Discrimination in Crossmodal Sequences","year":2009,"lang":"en","type":"article","venue":"Perception","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interval (graph theory); Crossmodal; Duration (music); Sequence (biology); Mathematics; Audiology; Time perception; Speech recognition; Psychology; Statistics; Acoustics; Computer science; Combinatorics; Cognition; Physics; Perception; Neuroscience; Medicine; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001910542,0.00009963109,0.00008070036,0.0001727845,0.000157911,0.0001073986,0.0001291583,0.0000557496,0.0001580735],"category_scores_gemma":[0.0001799843,0.00009271577,0.0000340016,0.0003807431,0.00008546242,0.001116851,0.00001095736,0.0001129787,0.0001707036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174643,"about_ca_system_score_gemma":0.00002290963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003739232,"about_ca_topic_score_gemma":0.00005097925,"domain_scores_codex":[0.9987949,0.00008655067,0.0002169656,0.0003922529,0.0002892207,0.0002201229],"domain_scores_gemma":[0.9997274,0.00001942298,0.00005871838,0.0001349072,0.00001799735,0.00004152222],"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":[0.00001315816,0.00006195041,0.0001985987,0.000002062036,3.276772e-8,0.000004123151,0.001404332,0.00005868459,0.9622941,0.0009360219,0.00005778804,0.03496915],"study_design_scores_gemma":[0.000310678,0.0001979903,0.941386,0.00002198263,0.000002720676,0.00003234415,0.0004086187,0.00594311,0.04548381,0.005755337,0.0002661263,0.000191313],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931195,0.000001034245,0.001049611,0.001391208,0.0002577231,0.0001832817,0.000002091948,0.00008971689,0.003905832],"genre_scores_gemma":[0.9976581,0.00004791217,0.000116909,0.001768038,0.0001117347,0.00001251596,0.000007102425,0.000004538159,0.0002731337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9411874,"threshold_uncertainty_score":0.3780839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05325671209716578,"score_gpt":0.3281809176126373,"score_spread":0.2749242055154716,"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."}}