{"id":"W1648896586","doi":"10.3233/jad-130887","title":"The Benefits of Errorless Learning for Serial Reaction Time Performance in Alzheimer's Disease","year":2014,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; Université du Québec à Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Psychology; Sequence learning; Cognitive psychology; Perception; Sequence (biology); Serial reaction time; Implicit learning; Developmental psychology; Audiology; Cognition; Medicine; Neuroscience","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":[0.0006525008,0.0003746182,0.0002783943,0.0003827692,0.00008115471,0.0002775659,0.0001521496,0.0002868002,0.0009676339],"category_scores_gemma":[0.003811121,0.000110791,0.0001565223,0.0001045492,0.0002655825,0.0003763667,0.0002418318,0.0002662958,0.0001090809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000800819,"about_ca_system_score_gemma":0.00008516667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003685301,"about_ca_topic_score_gemma":0.0004758938,"domain_scores_codex":[0.9997742,0.00004664952,0.00005901631,0.00004557062,0.00004920977,0.00002536663],"domain_scores_gemma":[0.9978814,0.0009530407,0.00058782,0.0002394751,0.0001419607,0.0001964312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02415228,0.003416924,0.5184162,0.0004293442,0.0003164311,0.001289,0.0009884487,0.001653825,0.2493812,0.0002012035,0.0003139886,0.199441],"study_design_scores_gemma":[0.0001205407,0.00560868,0.9773405,0.00001120542,0.00007167223,0.0009892905,0.0001062692,0.001081878,0.01395526,0.0005397811,0.0001604879,0.0000145115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995938,0.00009264667,0.0001861697,0.00000836572,0.000002557808,0.000002212817,0.00001037055,0.000005063127,0.00009888142],"genre_scores_gemma":[0.999582,0.00005517073,0.0002318784,0.000008555116,0.000004730359,0.000002245568,0.00002742084,0.000001985952,0.00008608022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009676339,"threshold_uncertainty_score":0.003450811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06424434322477184,"score_gpt":0.2969887644073087,"score_spread":0.2327444211825369,"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."}}