{"id":"W2606225550","doi":"10.1037/xlm0000398","title":"Long-term memory biases auditory spatial attention.","year":2017,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Multisensory perception and integration","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CLIPS; Recall; Context (archaeology); Cognitive psychology; Psychology; Task (project management); Affect (linguistics); Long-term memory; Cognition; Speech recognition; Audiology; Computer science; Communication; Artificial intelligence; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000424888,0.0001850614,0.0002701908,0.0001960381,0.0006516919,0.0001039326,0.0001829687,0.0002086138,0.006371274],"category_scores_gemma":[0.0001466787,0.0001724007,0.0001568653,0.00002519277,0.0003775326,0.0004514525,0.00003390459,0.000567627,0.0002882508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000316866,"about_ca_system_score_gemma":0.00001542416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000146629,"about_ca_topic_score_gemma":0.000006309011,"domain_scores_codex":[0.9984512,0.0003827609,0.0004852064,0.0002790103,0.0001984697,0.0002033433],"domain_scores_gemma":[0.9985254,0.00006734741,0.0008801124,0.0002393687,0.0001550014,0.0001328173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002400645,0.001315523,0.03741076,0.00001731772,0.000304152,0.0003679413,0.003648765,0.000006470296,0.7820043,0.00005309631,0.007136105,0.1653349],"study_design_scores_gemma":[0.004276528,0.00137378,0.9811752,0.0001560454,0.00008758185,0.001219618,0.003558833,0.0000189966,0.007417321,0.00004979556,0.0004271849,0.0002390758],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699452,0.0006042125,0.0008258473,0.0003047547,0.004675263,0.0001330581,0.000002622825,0.00002848494,0.02348057],"genre_scores_gemma":[0.9945559,0.0001119707,0.00009189542,0.0004515023,0.001507586,0.00001239002,0.00002111926,0.00002196506,0.003225676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9437645,"threshold_uncertainty_score":0.9945371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08722016609572916,"score_gpt":0.4190309724217733,"score_spread":0.3318108063260441,"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."}}