{"id":"W3004634564","doi":"10.1101/2020.02.05.934489","title":"Concurrent MEG-articulography for investigating neuromotor control of speech articulation","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Phonetics and Phonology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"California HIV/AIDS Research Program","keywords":"Articulation (sociology); Kinematics; Magnetoencephalography; Speech production; Neurocomputational speech processing; Psychology; Neuroimaging; Motor control; Manner of articulation; Computer science; Audiology; Speech recognition; Neuroscience; Speech perception; Electroencephalography; Medicine; Perception","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":[0.0004371333,0.0004463709,0.0002890614,0.0005916091,0.0001431557,0.0003259429,0.000192465,0.0004277199,0.001830853],"category_scores_gemma":[0.001105482,0.0001293359,0.0001247321,0.0002815966,0.0002760853,0.0003346625,0.0003815515,0.0003011281,0.0003595302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001275131,"about_ca_system_score_gemma":0.0002204131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004213326,"about_ca_topic_score_gemma":0.001216905,"domain_scores_codex":[0.9998019,0.00004841651,0.00001492122,0.00005311041,0.00006443335,0.00001713208],"domain_scores_gemma":[0.9996679,0.0001398517,0.0000543513,0.00004479518,0.00006042256,0.00003267511],"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":[0.0003857022,0.00005424077,0.01206186,0.0001477576,0.00003048132,0.0002286066,0.000125502,0.0002310602,0.9385785,0.0002761201,0.0002754027,0.0476048],"study_design_scores_gemma":[0.00007303662,0.001719833,0.5867434,0.00005446075,0.0001402204,0.004133756,0.0003733694,0.006068263,0.3941127,0.001068418,0.005456917,0.00005563327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270015,0.001137904,0.06684702,0.0001645909,0.0001003739,0.0001588259,0.0009979614,0.0003529414,0.003238893],"genre_scores_gemma":[0.9451391,0.0004027776,0.05286494,0.00007010419,0.00005290465,0.0001873622,0.0002382978,0.00004105133,0.001003532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001830853,"threshold_uncertainty_score":0.006124794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640504980876287,"score_gpt":0.3000157186791145,"score_spread":0.2536106688703516,"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."}}