{"id":"W904970461","doi":"","title":"The benefits of prior sequence learning on a serial reaction time performance in Alzheimer's disease: Comparison of two learning methods","year":2012,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Serial reaction time; Sequence (biology); Disease; Sequence learning; Serial learning; Computer science; Psychology; Cognitive psychology; Artificial intelligence; Medicine; Neuroscience; Cognition; Biology; Internal medicine; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007777457,0.0001034275,0.0002626262,0.001169746,0.0003995677,0.0000272223,0.0002602352,0.00006270537,0.00002539622],"category_scores_gemma":[0.00000184394,0.0000922861,0.00008823076,0.002077867,0.0002522401,0.0003388586,0.0000985958,0.0002721511,0.000002312442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004163495,"about_ca_system_score_gemma":0.00001573803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073168,"about_ca_topic_score_gemma":0.000005072082,"domain_scores_codex":[0.9985562,0.0007382657,0.0001843561,0.0001909949,0.0001515305,0.000178656],"domain_scores_gemma":[0.9989085,0.0003458323,0.0004434967,0.000134123,0.00009865636,0.0000694527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001002889,0.0001704824,0.9739492,0.00001775761,0.0001381623,0.000001222182,0.002515098,0.00005634955,0.006172492,0.0004321662,0.00002758738,0.01551657],"study_design_scores_gemma":[0.0005865855,0.0004710425,0.9924225,0.0001577521,0.0001314382,0.000002548923,0.0042352,0.0002092764,0.001442282,0.000008589186,0.0002252193,0.0001075531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920198,0.001536151,0.00002771204,0.00002811286,0.0001278701,0.0001766991,0.000002999148,0.000009768924,0.006070894],"genre_scores_gemma":[0.9988926,0.000434386,0.0003466444,0.000002809569,0.00002405224,0.000001195549,0.000004166759,0.000005633438,0.0002885009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01847329,"threshold_uncertainty_score":0.3763318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05683273245574096,"score_gpt":0.3545394686472363,"score_spread":0.2977067361914954,"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."}}