{"id":"W2766378855","doi":"10.1016/j.pscychresns.2017.10.010","title":"Strategy for Semantic Association Memory (SESAME) training: Effects on brain functioning in schizophrenia","year":2017,"lang":"en","type":"article","venue":"Psychiatry Research Neuroimaging","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Semantic memory; Schizophrenia (object-oriented programming); Psychology; Association (psychology); Cognitive training; Dorsolateral prefrontal cortex; Cognitive psychology; Encoding (memory); Task (project management); Neuroscience; Cognition; Audiology; Prefrontal cortex; Medicine; Psychiatry","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003471233,0.0002738628,0.0003417275,0.0006245715,0.002812503,0.0008008794,0.0006788708,0.0000929169,0.00001373394],"category_scores_gemma":[0.1065868,0.0002911516,0.0001453042,0.0004250978,0.0001962617,0.0007089246,0.0002285164,0.001228985,0.00008926719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003052958,"about_ca_system_score_gemma":0.0003286828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007763832,"about_ca_topic_score_gemma":0.0002088432,"domain_scores_codex":[0.9952998,0.0009171818,0.0003307518,0.001205119,0.001140473,0.001106635],"domain_scores_gemma":[0.9708648,0.02781494,0.0002554301,0.0007703218,0.0001597198,0.0001347835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004439814,0.001350945,0.3017548,0.001527291,0.0001602292,0.0002558986,0.002309063,0.002802813,0.2973453,0.04209296,0.1733985,0.1725625],"study_design_scores_gemma":[0.01389353,0.002873016,0.8328154,0.001165225,0.00004614978,0.00006041103,0.001454421,0.02835836,0.0244731,0.08457956,0.008763528,0.001517311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448136,0.00008486834,0.0002027086,0.138088,0.004012938,0.001442124,0.00001612582,0.0001822952,0.01115737],"genre_scores_gemma":[0.9933089,0.00001398113,0.000194856,0.003607305,0.001062247,0.0002718516,0.000002142901,0.00006785602,0.00147087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5310606,"threshold_uncertainty_score":0.999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1569557442442012,"score_gpt":0.3994249105289682,"score_spread":0.242469166284767,"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."}}