{"id":"W2140616900","doi":"","title":"Perceiving filled vs. empty time intervals: A comparison of adjustment and magnitude estimation methods","year":2012,"lang":"en","type":"article","venue":"Proceedings of Fechner Day","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Illusion; Duration (music); Time perception; Statistics; Interval (graph theory); Magnitude (astronomy); Perception; Mathematics; Offset (computer science); Estimation; Psychophysics; Audiology; Psychology; Cognitive psychology; Computer science; Acoustics; Medicine; Physics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.003550217,0.000484347,0.000316923,0.001216058,0.0001285636,0.001038915,0.0004233747,0.0006861109,0.001655702],"category_scores_gemma":[0.04092833,0.0003469669,0.0003018772,0.0004162893,0.0005297915,0.002093757,0.001174984,0.0005365364,0.0002142051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804554,"about_ca_system_score_gemma":0.0001768035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002748097,"about_ca_topic_score_gemma":0.000327456,"domain_scores_codex":[0.9974497,0.001088445,0.0002816744,0.0003845411,0.0006977809,0.00009785694],"domain_scores_gemma":[0.9801994,0.01441462,0.002677284,0.001086181,0.001136741,0.0004859108],"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":[0.01349812,0.0003609475,0.06250414,0.001698388,0.0003756505,0.0003030831,0.008860572,0.001096498,0.5971905,0.003989688,0.0005014224,0.3096209],"study_design_scores_gemma":[0.0005769772,0.005098826,0.8037941,0.000377512,0.0005290777,0.002962981,0.006701919,0.02679858,0.1369514,0.007766981,0.007930359,0.0005114083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137516,0.001850846,0.07894285,0.00012508,0.0001576511,0.0002121106,0.0001072433,0.0001691538,0.00468344],"genre_scores_gemma":[0.9493257,0.0005332455,0.04911678,0.00005718723,0.00005673587,0.0001508541,0.0000906589,0.00008754567,0.0005813399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003550217,"threshold_uncertainty_score":0.01877558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05645088913963954,"score_gpt":0.3744339730678627,"score_spread":0.3179830839282232,"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."}}