{"id":"W4200503146","doi":"10.1080/00222895.2021.2016573","title":"Optimizing Motor Learning: Difficulty Manipulation Combined with Feedback- Frequency Enhance Under-Time-Pressure Fine-Motor-Coordination Skill Acquisition and Retention","year":2021,"lang":"en","type":"article","venue":"Journal of Motor Behavior","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Knowledge of results; Motor learning; Task (project management); Psychology; Motor skill; Cognition; Consistency (knowledge bases); Working memory; Dreyfus model of skill acquisition; Test (biology); Audiology; Cognitive psychology; Physical medicine and rehabilitation; Developmental psychology; Computer science; Artificial intelligence; Medicine; Engineering; 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":[0.0001702548,0.0003525848,0.0003883172,0.0001914369,0.00008595769,0.0002225971,0.0002612307,0.0002331912,0.001139116],"category_scores_gemma":[0.0006305429,0.0001060713,0.0002232273,0.00011005,0.0001408135,0.0002959786,0.0002954981,0.0002834355,0.0001668361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006338072,"about_ca_system_score_gemma":0.0001357001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000416324,"about_ca_topic_score_gemma":0.000664359,"domain_scores_codex":[0.9998478,0.00001995774,0.00001901227,0.00004517915,0.00004121084,0.00002672427],"domain_scores_gemma":[0.9997298,0.00006393231,0.0001014398,0.00002305458,0.0000224422,0.00005932201],"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":[0.007182918,0.006761151,0.008769939,0.000341342,0.00010088,0.0001249425,0.0002191206,0.0005154698,0.8834872,0.00005720313,0.0001066476,0.09233318],"study_design_scores_gemma":[0.0009755106,0.1205473,0.3087488,0.00006838195,0.0004042695,0.0009310047,0.0002749538,0.008064951,0.5561991,0.0004064021,0.003310014,0.0000693967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989409,0.00009129907,0.0008261662,0.00001082436,0.000004469633,0.00001371247,0.00001296354,0.00001372998,0.00008591506],"genre_scores_gemma":[0.9966918,0.0001448309,0.002514883,0.00001688451,0.000008635989,0.00003733304,0.00005269234,0.000006894245,0.0005259555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001139116,"threshold_uncertainty_score":0.003810704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047114500771297,"score_gpt":0.2534176214394438,"score_spread":0.2329464764317308,"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."}}