{"id":"W2278913257","doi":"10.1016/j.brainres.2016.02.025","title":"Memory for pure tone sequences without contour","year":2016,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Laboratory for Brain, Music and Sound Research; Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Canada Research Chairs","keywords":"Amplitude; Tone (literature); Audiology; Set (abstract data type); Perception; Interval (graph theory); Psychology; Noise (video); Echoic memory; White noise; Negativity effect; Speech recognition; Mathematics; Cognition; Cognitive psychology; Computer science; Statistics; Physics; Neuroscience; Artificial intelligence; Medicine; Art","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":[0.0005328455,0.0007185182,0.0003856202,0.0004479779,0.0003073062,0.001451333,0.0008872265,0.0008478921,0.009909785],"category_scores_gemma":[0.008142574,0.0003122551,0.0003265958,0.0002636176,0.0004401327,0.002924561,0.0008804334,0.00091488,0.00167724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829773,"about_ca_system_score_gemma":0.0004024215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009463013,"about_ca_topic_score_gemma":0.0009757883,"domain_scores_codex":[0.999681,0.00003223507,0.00003183061,0.000104044,0.000116956,0.00003400873],"domain_scores_gemma":[0.9965014,0.001377166,0.0005128519,0.0008919151,0.0004147411,0.0003018817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01063194,0.0008434364,0.0337947,0.0009208533,0.0004487924,0.001206199,0.001947105,0.002275771,0.6846831,0.003931841,0.002688429,0.2566276],"study_design_scores_gemma":[0.0009879651,0.02256384,0.4822304,0.001006556,0.001844502,0.009463619,0.003788274,0.06459953,0.3336971,0.05597594,0.02332659,0.0005156478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812132,0.0004918728,0.007172661,0.0001210761,0.0003428838,0.00007189299,0.0002295903,0.0001737595,0.01018326],"genre_scores_gemma":[0.9848729,0.0003991996,0.002782494,0.0002578993,0.0001312162,0.00003610709,0.0005842336,0.00007936712,0.01085649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009909785,"threshold_uncertainty_score":0.03315151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1538088446876836,"score_gpt":0.4239184071324059,"score_spread":0.2701095624447223,"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."}}