{"id":"W1986237348","doi":"10.3200/jmbr.40.2.117-132","title":"Effect of Imagined Movement Speed on Subsequent Motor Performance","year":2008,"lang":"en","type":"article","venue":"Journal of Motor Behavior","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Anticipation (artificial intelligence); Movement (music); Duration (music); Motor imagery; Psychology; Physical medicine and rehabilitation; Task (project management); Time perception; Action (physics); Cognitive psychology; Computer science; Cognition; Electroencephalography; Neuroscience; Medicine; Artificial intelligence; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008112584,0.0002321772,0.0005017301,0.0002878916,0.00008312395,0.000004643655,0.0003577124,0.000152692,0.002129094],"category_scores_gemma":[0.00002252087,0.0001765123,0.0002816024,0.0001420163,0.0001653622,0.0001461174,0.00001813774,0.000492737,0.0001727574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008112309,"about_ca_system_score_gemma":0.0000453563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001623914,"about_ca_topic_score_gemma":4.438717e-7,"domain_scores_codex":[0.9981698,0.0001188868,0.0007746738,0.0001981551,0.0004211216,0.0003173182],"domain_scores_gemma":[0.998502,0.00010024,0.0006994591,0.0004032836,0.0001510985,0.0001439597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007051044,0.001345892,0.9126722,0.00004609563,0.0001348661,0.0007945465,0.0006735449,0.00001319583,0.05721464,0.00003214478,0.00391399,0.01610781],"study_design_scores_gemma":[0.003367065,0.009940971,0.9540671,0.00006704294,0.0001270177,0.0006418768,0.00002011318,0.000009808628,0.02973781,0.000001548332,0.001860469,0.0001591892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946503,0.0002761594,0.000005393901,0.00008044628,0.002807274,0.0003936337,0.00001531769,0.00001593406,0.001755517],"genre_scores_gemma":[0.9963295,0.0001214508,0.0001048468,0.0002219255,0.0003734321,0.00002273768,0.000002812386,0.00002710191,0.002796118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04139484,"threshold_uncertainty_score":0.9987831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681303150784483,"score_gpt":0.3306652572123743,"score_spread":0.3038522257045295,"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."}}