{"id":"W2244707724","doi":"10.1123/mcj.17.2.111","title":"Facilitating the Use of Online Visual Feedback: Advance Information and the Inter-Trial Interval?","year":2013,"lang":"en","type":"article","venue":"Motor Control","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visual feedback; Interval (graph theory); Physical medicine and rehabilitation; Computer science; Artificial intelligence; Physical therapy; Medicine; Human–computer interaction; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002635338,0.0001177838,0.0001992743,0.00004305318,0.0001304253,0.0001707965,0.0001864087,0.00003328168,0.00003163256],"category_scores_gemma":[0.003722095,0.00006039282,0.00008526824,0.00008343105,0.0002444658,0.001135853,0.00005265804,0.0001477314,0.00002693594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001339647,"about_ca_system_score_gemma":0.00001876056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002687651,"about_ca_topic_score_gemma":0.00002474536,"domain_scores_codex":[0.9987356,0.000311136,0.0004464393,0.0001310283,0.0002143313,0.0001614348],"domain_scores_gemma":[0.9972227,0.002170454,0.0002807855,0.000182649,0.0001067215,0.00003673443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03101903,0.0002419018,0.0002761422,0.00008370404,0.00006637462,0.000001208299,0.006875607,0.0009315664,0.1967341,0.005644483,0.0003436514,0.7577822],"study_design_scores_gemma":[0.07683612,0.0007708814,0.008692732,0.00005867932,0.00004655285,0.000005439488,0.001042276,0.8926951,0.0006198529,0.0006359543,0.01837368,0.0002227903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616542,0.00004793575,0.03245071,0.003229051,0.0003262528,0.002149909,0.00006994482,0.00003436382,0.00003755528],"genre_scores_gemma":[0.9971308,0.00001166976,0.0001811311,0.002257427,0.00009123563,0.0001613532,0.000002964881,0.000005578025,0.0001578755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8917635,"threshold_uncertainty_score":0.4455965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693526779840901,"score_gpt":0.2565290520191026,"score_spread":0.2295937842206936,"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."}}