{"id":"W2581840651","doi":"10.1155/2017/7203871","title":"Improving Theory of Mind in Schizophrenia by Targeting Cognition and Metacognition with Computerized Cognitive Remediation: A Multiple Case Study","year":2017,"lang":"en","type":"article","venue":"Schizophrenia Research and Treatment","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut Universitaire en Santé Mentale de Québec","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; National Institute for Health and Care Research","keywords":"Metacognition; Cognition; Schizophrenia (object-oriented programming); Theory of mind; Psychology; Social cognition; Cognitive remediation therapy; Clinical psychology; Developmental psychology; Cognitive psychology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001287726,0.0003867611,0.0006911564,0.0005453747,0.0009265699,0.0002487828,0.000100816,0.0001159418,0.00003237906],"category_scores_gemma":[0.0006735842,0.0002758613,0.00006630513,0.0002571354,0.0007539691,0.0003339681,0.0001921059,0.0004232949,0.000007465087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631705,"about_ca_system_score_gemma":0.0003955139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917655,"about_ca_topic_score_gemma":0.003817266,"domain_scores_codex":[0.9967338,0.0005340241,0.0004657245,0.0008490166,0.0007708301,0.0006465624],"domain_scores_gemma":[0.9972608,0.001018408,0.0002466198,0.000454496,0.0005147362,0.0005049037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.2085165,0.007297115,0.1373484,0.0002046156,0.001773519,0.0165877,0.002204201,3.554358e-7,0.007486035,0.0001261645,0.00001211063,0.6184433],"study_design_scores_gemma":[0.4183389,0.06019354,0.41596,0.001640597,0.001945787,0.005091401,0.03115477,0.002568481,0.05938002,0.002516465,0.00001634039,0.001193699],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944261,0.001397465,0.00007190789,0.0002077637,0.00002700152,0.003578417,0.0001785765,0.0000243138,0.00008841367],"genre_scores_gemma":[0.9939985,0.0003341179,0.004637772,0.000005107747,0.0000973992,0.0006132023,0.0002180551,0.00004094561,0.00005490085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6172496,"threshold_uncertainty_score":0.9999694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06012955448314425,"score_gpt":0.3481376577942609,"score_spread":0.2880081033111166,"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."}}