{"id":"W2149768821","doi":"10.1101/sqb.2014.79.024794","title":"The Brainstem Oscillator for Whisking and the Case for Breathing as the Master Clock for Orofacial Motor Actions","year":2014,"lang":"en","type":"article","venue":"Cold Spring Harbor Symposia on Quantitative Biology","topic":"Neuroscience of respiration and sleep","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health; National Science Foundation","keywords":"Whisking in animals; Neuroscience; Sniffing; Master clock; Brainstem; Reticular connective tissue; Breathing; Reticular formation; Medulla oblongata; Psychology; Biology; Communication; Anatomy; Computer science; Somatosensory system; Stimulation; Central nervous system","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001282948,0.0001968747,0.0002219114,0.00006689769,0.002943924,0.0003043701,0.0003885642,0.00008099616,0.000001246195],"category_scores_gemma":[0.004787038,0.0001010589,0.0001607731,0.00012754,0.0007342784,0.0001261195,0.00007357488,0.0001449314,0.000005370237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004347167,"about_ca_system_score_gemma":0.00005447206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001740801,"about_ca_topic_score_gemma":0.00004139909,"domain_scores_codex":[0.9982564,0.0004065605,0.0002916721,0.0005330832,0.000100587,0.0004116307],"domain_scores_gemma":[0.9882935,0.01097176,0.0002300907,0.0003213249,0.0001129299,0.00007037313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004399838,0.00001159307,0.00002264286,0.00001036659,0.000007291274,0.000001239734,0.0001993615,0.00001401947,0.1975152,0.8012208,0.00002708147,0.00053046],"study_design_scores_gemma":[0.002960309,0.001785664,0.000111397,0.00002674367,0.00004488799,0.00003351969,0.0003191993,0.05544937,0.0474974,0.002281168,0.889222,0.0002684011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8490964,0.0005540325,0.1042429,0.03352586,0.003737976,0.007877238,0.0001951875,0.0001501184,0.0006202908],"genre_scores_gemma":[0.9931594,0.00004059171,0.0007050396,0.004528591,0.0002023109,0.001038308,2.705438e-7,0.00002823516,0.0002972733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8891948,"threshold_uncertainty_score":0.9983541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06578368369130051,"score_gpt":0.3265885208007359,"score_spread":0.2608048371094354,"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."}}