{"id":"W2078881656","doi":"10.1167/14.10.415","title":"Limb-target regulation processes: Further evidence for a sweet spot.","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Jump; Physical medicine and rehabilitation; Visual feedback; Psychology; Movement (music); Lower limb; Perception; Gaze; Computer science; Artificial intelligence; Physics; Medicine; Neuroscience; Acoustics; Surgery","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":[0.002255687,0.0005535302,0.0008593091,0.0009663565,0.0005715036,0.002015206,0.001412208,0.002296936,0.009350676],"category_scores_gemma":[0.00948156,0.0004452611,0.0007137987,0.0006431862,0.002897745,0.005334302,0.003249293,0.002778924,0.001127671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003687675,"about_ca_system_score_gemma":0.0005525908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006193697,"about_ca_topic_score_gemma":0.0004833929,"domain_scores_codex":[0.9983971,0.000267235,0.0000806358,0.0006752509,0.0004342616,0.0001454711],"domain_scores_gemma":[0.9935589,0.003089453,0.001046668,0.001238439,0.0006804086,0.0003860411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00282722,0.0008121448,0.04626109,0.004459242,0.0005719631,0.002269992,0.008916676,0.001589341,0.401574,0.05759354,0.005456516,0.4676683],"study_design_scores_gemma":[0.0003273482,0.004260893,0.6169434,0.001655628,0.0005176069,0.009917588,0.004317097,0.02080269,0.06604135,0.2136183,0.0610398,0.0005583545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7414759,0.05001889,0.129212,0.02014781,0.001406478,0.0002146698,0.0006804895,0.0007306824,0.05611306],"genre_scores_gemma":[0.9666613,0.005764688,0.01833094,0.004476961,0.0003540205,0.0001078551,0.0003440079,0.0001447299,0.003815397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009350676,"threshold_uncertainty_score":0.03128117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04307220987241179,"score_gpt":0.358146301824859,"score_spread":0.3150740919524472,"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."}}