{"id":"W2395899498","doi":"","title":"SPATOSC: PROVIDING ABSTRACTION FOR THE AUTHORING OF INTERACTIVE SPATIAL SUDIO EXPERIENCES","year":2012,"lang":"en","type":"article","venue":"The Journal of the Abraham Lincoln Association","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Spatialization; Computer science; Multimedia; Loudspeaker; Surround sound; Visualization; Human–computer interaction; Sound (geography); Artificial intelligence","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":[0.001352923,0.001941135,0.0009248952,0.001709254,0.0009982541,0.003337905,0.003239546,0.001305141,0.03726419],"category_scores_gemma":[0.004692046,0.001236626,0.001770227,0.0008536052,0.001374295,0.003119218,0.008582397,0.002031744,0.009251404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008153532,"about_ca_system_score_gemma":0.001200337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417968,"about_ca_topic_score_gemma":0.002995816,"domain_scores_codex":[0.9991934,0.0001629139,0.00008702079,0.000102953,0.0003351594,0.0001184953],"domain_scores_gemma":[0.9979031,0.0008275008,0.00008301611,0.0005008283,0.0002872479,0.0003982474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002204509,0.0007119947,0.004167718,0.003677567,0.0002584541,0.004548067,0.01156315,0.023297,0.09669755,0.07621521,0.1846866,0.5919722],"study_design_scores_gemma":[0.0006289454,0.0004015871,0.003406421,0.0007010182,0.0001802794,0.002560224,0.0008692045,0.1503503,0.05257419,0.04095195,0.7469422,0.0004336551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01173659,0.0001613271,0.8664041,0.0001675972,0.0001321889,0.0005546241,0.001865139,0.1030653,0.01591324],"genre_scores_gemma":[0.1370359,0.0007484682,0.7606542,0.0004244977,0.0001708634,0.002392543,0.01008474,0.0409171,0.04757161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03726419,"threshold_uncertainty_score":0.1246611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372641383571783,"score_gpt":0.319017545329902,"score_spread":0.2817534069727237,"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."}}