{"id":"W1599229230","doi":"","title":"Memory for musical intervals: Cognitive differences for consonance and dissonance","year":2007,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cognitive dissonance; Consonance and dissonance; Dyad; Sensory memory; Psychology; Tone (literature); Context (archaeology); Bandwidth (computing); Pitch (Music); Musical; Cognitive psychology; Cognition; Acoustics; Computer science; Working memory; Physics; Social psychology; Perception; Telecommunications; Art; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001037767,0.0003965362,0.0002863106,0.0007193218,0.0002129828,0.001049503,0.0004874629,0.0005789287,0.003014246],"category_scores_gemma":[0.006756461,0.0001931417,0.0001344187,0.0002266713,0.0008609745,0.0008495221,0.0006807665,0.0006105452,0.0003543615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178692,"about_ca_system_score_gemma":0.0002514861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772159,"about_ca_topic_score_gemma":0.002435659,"domain_scores_codex":[0.9996214,0.00004662585,0.00002951337,0.0001150847,0.0001582618,0.00002909707],"domain_scores_gemma":[0.9969157,0.00119671,0.000786032,0.0003832162,0.0002686796,0.0004497032],"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":[0.007257335,0.001756016,0.3866234,0.0004820662,0.0002991727,0.0008809174,0.01748293,0.0007163683,0.3952042,0.001870894,0.001223223,0.1862034],"study_design_scores_gemma":[0.00008823988,0.003099518,0.9664243,0.00004067654,0.00008459581,0.0009018623,0.004199665,0.001656827,0.01871514,0.003577953,0.001138675,0.00007253647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977563,0.0001075135,0.0004178738,0.00003282421,0.000009511629,0.000008797439,0.00002369277,0.000007046004,0.00163654],"genre_scores_gemma":[0.9985586,0.00005117785,0.0003897854,0.00004646899,0.000006394623,0.000008737729,0.00004557776,0.000003459293,0.000889772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003014246,"threshold_uncertainty_score":0.01008362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331391673188277,"score_gpt":0.3095381543708258,"score_spread":0.246224237638943,"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."}}