{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002833634,0.0006843872,0.0006863261,0.0002208141,0.0002255582,0.0004238013,0.0006117658,0.0005187115,0.005633718],"category_scores_gemma":[0.0008188004,0.0002307125,0.0002497292,0.0001155054,0.0005071283,0.0005548307,0.0003326899,0.0008444211,0.0006091142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468395,"about_ca_system_score_gemma":0.0005060288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404939,"about_ca_topic_score_gemma":0.001712873,"domain_scores_codex":[0.9999026,0.00001497947,0.00001535775,0.00003231481,0.00001825893,0.00001646976],"domain_scores_gemma":[0.999707,0.00006762264,0.00007107545,0.00003609838,0.00001502791,0.0001031765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1719431,0.06354289,0.008335774,0.00116469,0.0008887604,0.0006546731,0.0007675518,0.001569883,0.5365164,0.001313444,0.00190941,0.2113934],"study_design_scores_gemma":[0.06815877,0.3927808,0.2584921,0.0006198823,0.003834215,0.001995461,0.002115281,0.02317756,0.2237635,0.01289581,0.01180133,0.0003653949],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988467,0.000116933,0.0002666892,0.00008887093,0.00003900487,0.00003526193,0.00005531684,0.00002163049,0.0005295844],"genre_scores_gemma":[0.9957073,0.0004188435,0.001228101,0.0001422437,0.00003648888,0.0001040177,0.0001874812,0.00001786087,0.002157726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005633718,"threshold_uncertainty_score":0.01884663,"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."}}