{"id":"W4232822974","doi":"10.32920/ryerson.14637927.v1","title":"Sensitivity to tonality across the pitch range","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tonality; Sensitivity (control systems); Salience (neuroscience); Context (archaeology); Tone (literature); Relative pitch; Octave (electronics); Acoustics; Audiology; Mathematics; Speech recognition; Psychology; Computer science; Physics; Cognitive psychology; Art; Engineering; Geography; Medicine; Neuroscience","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":[0.0004585194,0.000331508,0.0002836399,0.0004006132,0.0001366892,0.0005813462,0.0001614759,0.0003768642,0.003937529],"category_scores_gemma":[0.004578638,0.0002595579,0.0001381824,0.0001386121,0.0002987509,0.0003273935,0.0009811349,0.0003990611,0.0005392365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103493,"about_ca_system_score_gemma":0.00004993962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003703478,"about_ca_topic_score_gemma":0.0003866446,"domain_scores_codex":[0.9994884,0.00008320438,0.00003770631,0.0001774556,0.0001488131,0.00006452627],"domain_scores_gemma":[0.9977319,0.000908041,0.0005237016,0.0003425209,0.0002288389,0.0002651307],"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":[0.001644691,0.0000442882,0.02389896,0.00009561299,0.00005397288,0.0002782413,0.000497267,0.0002027077,0.9529149,0.00008092667,0.0001864006,0.02010215],"study_design_scores_gemma":[0.00006117373,0.001542167,0.8677279,0.00002471628,0.00007081269,0.002368676,0.0005226464,0.001338018,0.1246561,0.0006408193,0.0009986965,0.00004828955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963766,0.0001451212,0.00113095,0.00002156863,0.00001135869,0.00001899667,0.0001008718,0.00003781746,0.002156626],"genre_scores_gemma":[0.9988324,0.00004766568,0.0004395159,0.00002838818,0.000004417005,0.00001507577,0.0001063829,0.0000145857,0.0005115735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003937529,"threshold_uncertainty_score":0.01317239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09286484531822327,"score_gpt":0.3613278311209768,"score_spread":0.2684629858027536,"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."}}