{"id":"W3095932031","doi":"10.1167/jov.20.11.554","title":"Stimulus-locked responses on human upper limb muscles prefer low spatial frequency, high contrast, and fast moving targets","year":2020,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Stimulus (psychology); Contrast (vision); Computer science; Superior colliculus; Computer vision; Spatial frequency; Psychology; Artificial intelligence; Neuroscience; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002215707,0.0002116255,0.0001536708,0.0001290542,0.00007311108,0.0001591544,0.0001138951,0.0002947095,0.003026225],"category_scores_gemma":[0.001883603,0.00009989239,0.0001404472,0.00009210686,0.0001751834,0.0001670604,0.0002082027,0.0002265108,0.000476716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007191038,"about_ca_system_score_gemma":0.00007363725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002077008,"about_ca_topic_score_gemma":0.0003499283,"domain_scores_codex":[0.9998466,0.00004532418,0.00000840049,0.00004597247,0.00003166649,0.00002207484],"domain_scores_gemma":[0.9995516,0.000279758,0.00004614741,0.00002848553,0.00005401811,0.00004003259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006619504,0.00004648557,0.0009287223,0.00009251206,0.000009765327,0.00005653865,0.00009649723,0.0001100397,0.9903672,0.00004843369,0.00008695546,0.007494892],"study_design_scores_gemma":[0.0001767886,0.006413161,0.3925535,0.00008786726,0.00009049536,0.001416956,0.0003853879,0.005688949,0.5893642,0.0005827103,0.003197533,0.00004252084],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921028,0.0003472058,0.005396667,0.00004883447,0.00003776631,0.00007484586,0.0001089381,0.00007652934,0.001806384],"genre_scores_gemma":[0.9943079,0.0001693615,0.002792808,0.0001507877,0.00002454788,0.00007202099,0.0001287695,0.00003819968,0.002315661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003026225,"threshold_uncertainty_score":0.01012373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442682925407338,"score_gpt":0.2503865459637942,"score_spread":0.2359597167097209,"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."}}