{"id":"W2121094972","doi":"10.1080/00222895.2015.1037879","title":"Self-Control of Task Difficulty During Early Practice Promotes Motor Skill Learning","year":2015,"lang":"en","type":"article","venue":"Journal of Motor Behavior","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Anticipation (artificial intelligence); Task (project management); Knowledge of results; Psychology; Control (management); Motor learning; Session (web analytics); Cognitive psychology; Motor skill; Dreyfus model of skill acquisition; Motor control; 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":[0.0003607783,0.0002763062,0.0003194943,0.0002055138,0.0000935539,0.0003071255,0.0002328355,0.0002169901,0.0009069606],"category_scores_gemma":[0.002668383,0.0001285024,0.0001356432,0.00008743261,0.0002809311,0.0002346297,0.0003412835,0.0004963855,0.0001273036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000958979,"about_ca_system_score_gemma":0.0002137027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002617777,"about_ca_topic_score_gemma":0.0005893748,"domain_scores_codex":[0.9996814,0.00006596835,0.00003611212,0.00008289623,0.00009533086,0.00003829446],"domain_scores_gemma":[0.9970192,0.001323319,0.0007424526,0.0004478339,0.0001396795,0.0003275709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003388453,0.008512073,0.0140657,0.0002607438,0.0000924145,0.0002046597,0.0008359997,0.0006191386,0.8693852,0.0003190081,0.0001896016,0.1021269],"study_design_scores_gemma":[0.0009161215,0.04751876,0.5404007,0.0001204003,0.0001865068,0.001144584,0.0003528105,0.01493251,0.3885717,0.001266983,0.004494106,0.0000947657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981565,0.00006118821,0.00141564,0.00001506685,0.000004713039,0.00001671118,0.000007119592,0.0000394852,0.0002835378],"genre_scores_gemma":[0.9964536,0.00007756488,0.002648857,0.00001419019,0.00001103423,0.00003475569,0.00003767469,0.00001827415,0.0007040819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009069606,"threshold_uncertainty_score":0.003034115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375275682603684,"score_gpt":0.2688401710600427,"score_spread":0.2450874142340059,"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."}}