{"id":"W4307925864","doi":"10.1386/ts_00017_1","title":"Spatial audio production for immersive media experiences: Perspectives on practice-led approaches to designing immersive audio content","year":2021,"lang":"en","type":"article","venue":"The Soundtrack","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"IMes; Multimedia; Computer science; Interactive media; Set (abstract data type); Production (economics)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006838554,0.0001877415,0.0002076026,0.00006732789,0.0006124346,0.000138455,0.0002102558,0.00006884582,0.00002682885],"category_scores_gemma":[0.0145165,0.0001343731,0.0001383682,0.0003276863,0.0002733134,0.0003567501,0.00005396852,0.0002168183,0.00005514207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002081487,"about_ca_system_score_gemma":0.0001543647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005511467,"about_ca_topic_score_gemma":0.00001176847,"domain_scores_codex":[0.9977655,0.0004554293,0.0002501367,0.000754296,0.0004143398,0.0003602327],"domain_scores_gemma":[0.9967773,0.00233409,0.0001615612,0.0003728312,0.0002517551,0.0001024952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004392282,0.0002623576,0.00002512064,0.00002396146,0.00002704713,0.000006755891,0.3848357,0.0006301793,0.6065713,0.005658614,0.0002122914,0.001307463],"study_design_scores_gemma":[0.0003243078,0.0003401885,0.0009587486,0.0000422107,0.00003433746,0.00001944881,0.5103962,0.0001198622,0.4867134,0.0004717773,0.0004027169,0.0001768069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955794,0.0001128373,0.02223254,0.0184488,0.001294761,0.001363406,0.0000072742,0.00003051372,0.00071588],"genre_scores_gemma":[0.9957777,0.00002390512,0.002035626,0.0006408298,0.0005310989,0.0004383666,0.000003454669,0.00002506012,0.0005239637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1255605,"threshold_uncertainty_score":0.9937847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.231756904558273,"score_gpt":0.3142965571088338,"score_spread":0.08253965255056084,"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."}}