{"id":"W7046050814","doi":"","title":"Computerized cognitive training: From the laboratory to the real world","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Cognition; Cognitive training; Neuropsychology; Neuroplasticity; Cognitive neuropsychology; Rehabilitation; Training (meteorology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007700602,0.0003433404,0.000263777,0.0008141288,0.0002700303,0.001770731,0.001109609,0.0009097704,0.00954188],"category_scores_gemma":[0.001736838,0.0001124161,0.0001904683,0.0006602146,0.001741883,0.001382533,0.001015177,0.001033741,0.00100025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151915,"about_ca_system_score_gemma":0.001553348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253978,"about_ca_topic_score_gemma":0.004187928,"domain_scores_codex":[0.9996312,0.00009814357,0.00002147535,0.00005587158,0.0001638414,0.00002949829],"domain_scores_gemma":[0.9992934,0.0004899406,0.00006154717,0.00005314297,0.00005805825,0.00004380151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001881441,0.0004085305,0.0006566312,0.002116359,0.00002119011,0.00009547875,0.0005510291,0.0002057844,0.002799953,0.01577972,0.01005066,0.9671264],"study_design_scores_gemma":[0.0002923832,0.003000274,0.04055047,0.008968279,0.0001374709,0.002418651,0.002214385,0.001328278,0.017404,0.03867345,0.8848889,0.0001234637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1147044,0.5316684,0.03352059,0.02854613,0.003458652,0.0008063097,0.0004529872,0.0009299527,0.2859126],"genre_scores_gemma":[0.4409399,0.4330472,0.04423114,0.01252575,0.003525336,0.00185565,0.0003785813,0.0001625467,0.06333387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00954188,"threshold_uncertainty_score":0.03192073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243882074681269,"score_gpt":0.272487166234001,"score_spread":0.2500483454871884,"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."}}