{"id":"W2740250394","doi":"","title":"Individual differences in working memory capacity and their effect on speech processing.","year":2015,"lang":"en","type":"article","venue":"ICPhS","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Working memory; Psychology; Speech recognition; Nonsense; Cognitive psychology; Cognition; Computer science","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":[0.001012197,0.0002840163,0.0003279139,0.0004632494,0.0001671904,0.0005849691,0.0002329239,0.0003970564,0.004402871],"category_scores_gemma":[0.005686479,0.0001746409,0.0001742179,0.0002421802,0.0004644399,0.0003094565,0.0004510001,0.0004434399,0.0003441886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135722,"about_ca_system_score_gemma":0.0001088783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007551998,"about_ca_topic_score_gemma":0.0008100464,"domain_scores_codex":[0.9995034,0.0001209047,0.00005716649,0.0001568904,0.0001058196,0.00005587861],"domain_scores_gemma":[0.9945189,0.003043806,0.0009210931,0.0006398658,0.000207657,0.0006686024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01749317,0.002275199,0.7671214,0.000196643,0.001211988,0.00093127,0.004306356,0.0005703075,0.1468892,0.0007984574,0.001182034,0.05702399],"study_design_scores_gemma":[0.00002566712,0.0006407565,0.9958282,0.000005650025,0.00005017113,0.0002279714,0.0001708175,0.0003044396,0.002046968,0.0003260225,0.0003607667,0.00001255703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998385,0.0001699306,0.0002163224,0.0000373975,0.0000147595,0.00001080844,0.0001559439,0.0000105375,0.0009994031],"genre_scores_gemma":[0.9987202,0.00005469534,0.0003196629,0.00002198054,0.000005549261,0.00002110639,0.0001208995,0.00001067024,0.0007253145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004402871,"threshold_uncertainty_score":0.01472908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1010155666277515,"score_gpt":0.2854852135879141,"score_spread":0.1844696469601626,"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."}}