{"id":"W2900613497","doi":"10.1016/j.neuroscience.2018.11.020","title":"A Timeline of Motor Preparatory State Prior to Response Initiation: Evidence from Startle","year":2018,"lang":"en","type":"article","venue":"Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Ottawa","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Cued speech; Psychology; Audiology; Stimulus (psychology); Interstimulus interval; Go/no go; Latency (audio); Physical medicine and rehabilitation; Speech recognition; Computer science; Medicine; Neuroscience; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005370749,0.0001592749,0.000182609,0.0001509435,0.0001840265,0.0001071946,0.0009208075,0.00003200804,0.00009801849],"category_scores_gemma":[0.004357748,0.0001423665,0.00004489683,0.0007037888,0.0004876629,0.0006133534,0.0003255485,0.0001139825,0.0002239027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003105831,"about_ca_system_score_gemma":0.0001935162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002867507,"about_ca_topic_score_gemma":0.00001136434,"domain_scores_codex":[0.9975343,0.0003731118,0.0003645183,0.0008013158,0.0005927071,0.0003340667],"domain_scores_gemma":[0.9978675,0.0010445,0.0001672023,0.0005919721,0.0001464876,0.0001823322],"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":[0.0006329849,0.00005813257,0.0003989028,0.000004875315,3.238557e-7,0.0000129633,0.00133041,0.00007124013,0.9957082,0.000005285378,0.001040732,0.0007359207],"study_design_scores_gemma":[0.0001465153,0.001249954,0.01676045,0.0001018578,0.000002627919,0.000006759709,0.00001137371,0.004758557,0.9706292,0.00007503312,0.006110696,0.0001469881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994356,0.00002587931,0.003274477,0.0007539599,0.000924382,0.0003190695,0.00009560469,0.00009874216,0.0001519119],"genre_scores_gemma":[0.9934128,0.00001069387,0.001327924,0.00426809,0.0001234151,0.00001453245,1.715575e-7,0.00001327971,0.0008290791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02507904,"threshold_uncertainty_score":0.5805537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07131228469125875,"score_gpt":0.3393034716646354,"score_spread":0.2679911869733766,"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."}}