{"id":"W1541415050","doi":"","title":"Organising by object: How auditory memory can be structured within complex scenes","year":2008,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Multisensory perception and integration","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Headphones; Auditory scene analysis; Soundscape; Perception; Acoustics; Computer science; Noise (video); Modal; Psychoacoustics; Tone (literature); Auditory perception; Sound (geography); Psychology; Computer vision; Art","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":[0.0005749242,0.0004034477,0.0002894298,0.0006260673,0.000529868,0.002619194,0.001138563,0.0007673044,0.002304871],"category_scores_gemma":[0.00514365,0.0003694651,0.0003564632,0.0007415267,0.002149606,0.005239634,0.001511505,0.0007395514,0.0005017278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031231,"about_ca_system_score_gemma":0.0004044358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220472,"about_ca_topic_score_gemma":0.00129792,"domain_scores_codex":[0.9997228,0.0000549746,0.00001293517,0.00009676982,0.00007437573,0.00003808676],"domain_scores_gemma":[0.9980645,0.0008867926,0.000317777,0.0004356997,0.0001368915,0.0001583303],"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":[0.001333613,0.0003762943,0.02010795,0.001565633,0.0002112503,0.001142404,0.01517129,0.007836885,0.4612902,0.05413275,0.005387568,0.4314441],"study_design_scores_gemma":[0.0003846316,0.004114615,0.1512528,0.0007562813,0.0005847085,0.0060116,0.009561723,0.04510682,0.1488047,0.5878416,0.0451243,0.0004562702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8207188,0.00417014,0.1498377,0.001510792,0.0003140096,0.0001732575,0.0003237747,0.0006580992,0.02229342],"genre_scores_gemma":[0.9515346,0.001254859,0.04442851,0.0002039351,0.00007665565,0.0000614181,0.0003023745,0.0001113432,0.002026231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002619194,"threshold_uncertainty_score":0.007710576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0570453238911255,"score_gpt":0.2831917384158486,"score_spread":0.2261464145247231,"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."}}