{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01774856,0.001619379,0.001438944,0.001517826,0.0007034845,0.005244132,0.002113774,0.002288019,0.002553359],"category_scores_gemma":[0.1333744,0.0009540792,0.001279061,0.001338566,0.003807533,0.006221749,0.003455743,0.003031196,0.001269322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006531968,"about_ca_system_score_gemma":0.0007746539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476536,"about_ca_topic_score_gemma":0.0006569452,"domain_scores_codex":[0.9804643,0.005157271,0.002026464,0.007524394,0.003935305,0.0008922508],"domain_scores_gemma":[0.9046859,0.04852945,0.01686121,0.02398694,0.004739173,0.001197388],"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":[0.004153466,0.001239574,0.2646267,0.005458209,0.009688215,0.0005423351,0.005492723,0.03605214,0.2440523,0.03269809,0.005116513,0.3908798],"study_design_scores_gemma":[0.0002810851,0.003786091,0.7038807,0.000946119,0.001821524,0.001464253,0.001460127,0.05303168,0.1003131,0.1150808,0.01713993,0.0007946901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5421278,0.006230293,0.4259897,0.001234191,0.001320752,0.0007998127,0.003007494,0.001487749,0.01780214],"genre_scores_gemma":[0.9532763,0.00060552,0.04079359,0.0008592193,0.000388572,0.0006295328,0.001249879,0.0007705214,0.001426847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01774856,"threshold_uncertainty_score":0.09386444,"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."}}