{"id":"W1983121852","doi":"10.1080/00222895.2014.913544","title":"What Roles Do Errors Serve in Motor Skill Learning? An Examination of Two Theoretical Predictions","year":2014,"lang":"en","type":"article","venue":"Journal of Motor Behavior","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Task (project management); Motor learning; Cognitive psychology; Schema (genetic algorithms); Psychology; Dreyfus model of skill acquisition; Motor skill; Computer science; Developmental psychology; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009687088,0.0001281497,0.0002586777,0.0003126756,0.00007183259,0.00008890078,0.0002438416,0.00008225528,0.0001076252],"category_scores_gemma":[0.0007236935,0.0001069095,0.0001253828,0.000165646,0.0001397953,0.001111507,0.00002362181,0.0003614572,0.000003695533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005942841,"about_ca_system_score_gemma":0.00003857212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000761013,"about_ca_topic_score_gemma":0.00001555819,"domain_scores_codex":[0.9978727,0.0006267959,0.0005964935,0.0001901569,0.0005338285,0.0001800897],"domain_scores_gemma":[0.9987897,0.0002370424,0.0005038705,0.0001526039,0.0001806004,0.0001361556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002337417,0.001194237,0.01468046,0.00001746657,0.000005472313,0.00003900656,0.002370609,0.001399086,0.9201067,0.009055869,0.000002996747,0.05089434],"study_design_scores_gemma":[0.002788413,0.002753112,0.9487408,0.0002078615,0.0001202369,0.0001090444,0.001122764,0.02478942,0.01802961,0.0009405382,0.0001906707,0.0002074964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980308,0.00003223911,0.0009271902,0.0001205373,0.0005515882,0.0002381599,0.000006879015,0.00001613037,0.00007643006],"genre_scores_gemma":[0.9992694,0.00004751014,0.0002901296,0.00004397755,0.0001977833,0.00001821846,0.000001402298,0.00001789107,0.0001137245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9340604,"threshold_uncertainty_score":0.4359644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861860002586063,"score_gpt":0.2874642595161254,"score_spread":0.2688456594902647,"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."}}