{"id":"W2743598012","doi":"10.3758/s13428-017-0939-x","title":"Direct-location versus verbal report methods for measuring auditory distance perception in the far field","year":2017,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music; Douglas Mental Health University Institute","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Universidad Nacional de Quilmes; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Perception; Stimulus (psychology); Sound localization; Auditory perception; Modality (human–computer interaction); Psychology; Computer science; Audiology; Set (abstract data type); Cognitive psychology; 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":[0.01095034,0.001218026,0.0006787544,0.00213648,0.0003959134,0.001654408,0.001529147,0.001427911,0.005293808],"category_scores_gemma":[0.03703871,0.000503485,0.0006747613,0.001306716,0.0008886437,0.00211724,0.001650246,0.0009557228,0.001454246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999736,"about_ca_system_score_gemma":0.0006388166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454381,"about_ca_topic_score_gemma":0.00374884,"domain_scores_codex":[0.9821367,0.0104676,0.001426988,0.002488076,0.003106407,0.0003743482],"domain_scores_gemma":[0.9532911,0.03211453,0.005370222,0.003127153,0.005384445,0.0007125718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01424193,0.002907334,0.3397112,0.003602457,0.001271772,0.0003417397,0.006508085,0.002333034,0.09371227,0.005403492,0.002529393,0.5274373],"study_design_scores_gemma":[0.002368688,0.02477791,0.8086058,0.001424203,0.00223182,0.005843475,0.01697362,0.03268973,0.08305499,0.01184792,0.009209234,0.0009726273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7232294,0.003390192,0.2551931,0.0002681951,0.0006370724,0.001349647,0.001318696,0.0004728323,0.01414078],"genre_scores_gemma":[0.8073767,0.001681019,0.1794335,0.0004263804,0.0002706712,0.002910234,0.0005314719,0.0002138989,0.007156188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01095034,"threshold_uncertainty_score":0.05791163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5455580172396415,"score_gpt":0.6340813677204105,"score_spread":0.08852335048076898,"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."}}