{"id":"W2911149371","doi":"","title":"Directional Filtering of Ambisonic Sound Scenes","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ambisonics; Computer science; Sound (geography); Acoustics; Computer vision; Computer graphics (images); Loudspeaker; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019196,0.0001255604,0.0001569602,0.0001087048,0.0003607289,0.0002265334,0.0009772799,0.00005680676,0.0001183166],"category_scores_gemma":[0.0003796855,0.0001275103,0.00007598779,0.0005167765,0.0002652294,0.000383217,0.0004607955,0.0001079078,0.0000387393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000325936,"about_ca_system_score_gemma":0.0001177531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001618938,"about_ca_topic_score_gemma":0.000238219,"domain_scores_codex":[0.9980826,0.0007344413,0.0002811546,0.0003785862,0.0002892263,0.0002339296],"domain_scores_gemma":[0.9972361,0.000400406,0.0002269353,0.0008838066,0.001167646,0.00008505867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001243975,0.0006054907,0.007768938,0.0001524288,0.00007402506,0.000003972119,0.01686313,0.00002317833,0.09611992,0.4982776,0.0031336,0.3769653],"study_design_scores_gemma":[0.0006192651,0.000001644528,0.01280732,0.0009284235,0.00001462372,0.00003768972,0.00006805876,0.04745428,0.8864594,0.02493938,0.02620325,0.0004666436],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09870093,0.000229491,0.8512089,0.003896584,0.0001955751,0.00006645604,0.000002646146,0.0001577521,0.04554165],"genre_scores_gemma":[0.8555705,0.00002428375,0.1414245,0.000122447,0.00003331938,0.000006655148,0.00000535297,0.00001004057,0.002802899],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7903395,"threshold_uncertainty_score":0.5199719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574754104237424,"score_gpt":0.2293847436858996,"score_spread":0.2136372026435253,"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."}}