{"id":"W2604627912","doi":"","title":"How robust are measures of online control to offline mechanisms","year":2016,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Visual feedback; Contrast (vision); Online and offline; Control (management); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001396485,0.000136192,0.0004108325,0.0002116297,0.00006326311,0.00003617593,0.0001717654,0.00004525459,0.00007545501],"category_scores_gemma":[0.0002414879,0.00008442416,0.0001320836,0.0001108073,0.0000387254,0.000340295,0.00002250615,0.0001277271,0.00000323892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002824135,"about_ca_system_score_gemma":0.00004092184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009605118,"about_ca_topic_score_gemma":0.00002318304,"domain_scores_codex":[0.9986985,0.00001832293,0.0004566253,0.0001718418,0.0004698596,0.0001848531],"domain_scores_gemma":[0.9986626,0.00007228593,0.0006317011,0.0001686203,0.0002779985,0.0001867786],"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":[0.0006213404,0.000382175,0.003757185,0.00001801817,0.00002638484,0.0001136468,0.0001079593,0.00005784228,0.9848928,0.0005157199,0.002165024,0.007341873],"study_design_scores_gemma":[0.003312926,0.0009372947,0.03459917,0.0007804698,0.0001741272,0.0001355346,0.00150665,0.00005656295,0.944313,0.001363634,0.01251279,0.0003077956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828077,0.00004233258,0.01171288,0.004323589,0.0005989951,0.0002098952,0.000118703,0.00001116091,0.0001747519],"genre_scores_gemma":[0.9946967,0.000653134,0.0004290001,0.001040458,0.0001386489,0.00000228453,3.550518e-7,0.00001333131,0.003026098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04057978,"threshold_uncertainty_score":0.3442717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04503171879773591,"score_gpt":0.2657596890645905,"score_spread":0.2207279702668546,"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."}}