{"id":"W2143342006","doi":"10.3758/s13428-015-0682-0","title":"Quantifying online visuomotor feedback utilization in the frequency domain","year":2015,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Frequency domain; Computer science; Acceleration; Detrended fluctuation analysis; Feedback control; Control (management); Artificial intelligence; Mathematics; Computer vision; Control engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000360252,0.0004274556,0.0003950964,0.0009975615,0.0001543606,0.0005016276,0.0002913306,0.0004176095,0.002011654],"category_scores_gemma":[0.002746846,0.0002090036,0.0002080633,0.0006006489,0.0002053461,0.0006277481,0.0003936358,0.0002540546,0.0003809062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122481,"about_ca_system_score_gemma":0.0002628065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123301,"about_ca_topic_score_gemma":0.001978252,"domain_scores_codex":[0.9996288,0.0000735688,0.00001672584,0.0001147622,0.0001260605,0.00004009241],"domain_scores_gemma":[0.9991826,0.000492086,0.0001078775,0.00008596062,0.00009472636,0.00003666226],"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":[0.0009639466,0.0005602531,0.03327703,0.0004108333,0.0001837788,0.00008889142,0.0002360388,0.01053809,0.5764886,0.0009174818,0.0004872068,0.3758479],"study_design_scores_gemma":[0.00007526275,0.001247685,0.4484119,0.0001239796,0.0003185314,0.001373251,0.0002477758,0.2534662,0.2888119,0.003432687,0.002371895,0.0001190126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.818204,0.0004779242,0.1769741,0.00004732475,0.00003949706,0.00007073209,0.0004350679,0.0004048474,0.003346513],"genre_scores_gemma":[0.952598,0.0002736125,0.04533226,0.00004325382,0.00002260323,0.000082844,0.0002368687,0.0001081574,0.001302412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002011654,"threshold_uncertainty_score":0.006729662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7533497313562453,"score_gpt":0.6120796684353152,"score_spread":0.14127006292093,"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."}}