{"id":"W3016122346","doi":"10.1101/2020.04.07.030130","title":"An emerging target paradigm evokes fast visuomotor responses on human upper limb muscles","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund","keywords":"Stimulus (psychology); Obstacle; Computer science; Neuroscience; Sensory system; Psychology; Computer vision; Artificial intelligence; Cognitive psychology","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":[0.0001881281,0.0003114868,0.000209401,0.0001360867,0.0001085529,0.0001527748,0.0001683775,0.0003636454,0.001345832],"category_scores_gemma":[0.0005007087,0.0001171692,0.000204744,0.00005567322,0.0002776416,0.0001699562,0.0004246999,0.0003665528,0.0002046331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002866,"about_ca_system_score_gemma":0.0001186822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001912673,"about_ca_topic_score_gemma":0.0005052754,"domain_scores_codex":[0.9998623,0.00002686146,0.00001073084,0.00003863365,0.00003976596,0.00002164107],"domain_scores_gemma":[0.9998424,0.00006351905,0.00002550703,0.00001389514,0.00002234075,0.00003239073],"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":[0.0002107483,0.00003194356,0.0001771368,0.00005020709,0.000004042963,0.00006428625,0.00003267991,0.00006932438,0.9971315,0.00002415667,0.00002494386,0.002178989],"study_design_scores_gemma":[0.0002403237,0.02360586,0.1468818,0.0001068731,0.00009194858,0.002379107,0.0005178737,0.008601404,0.8131734,0.0006816776,0.003657551,0.0000621398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991121,0.0002592128,0.0076786,0.00004276088,0.00003072434,0.00008981808,0.00006290557,0.00006262526,0.000652372],"genre_scores_gemma":[0.993506,0.0001352929,0.005330984,0.00009680047,0.00001428942,0.00008719827,0.00006487383,0.00001918373,0.0007453297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001345832,"threshold_uncertainty_score":0.004502296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341399505879315,"score_gpt":0.2536426276027569,"score_spread":0.2302286325439638,"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."}}