{"id":"W2560181822","doi":"10.1016/j.neulet.2016.12.016","title":"New insights into sucking, swallowing and breathing central generators: A complexity analysis of rhythmic motor behaviors","year":2016,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Swallowing; Central pattern generator; Breathing; Ventilation (architecture); Biology; Rhythm; Neuroscience; Anatomy; Medicine; Internal medicine; Physics; Surgery","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":[0.0001443819,0.000421273,0.0004819526,0.0005202697,0.0002935029,0.0008905924,0.0004478156,0.0004174901,0.002966412],"category_scores_gemma":[0.0007370056,0.0002652207,0.0006334347,0.0002973452,0.0007253655,0.001838052,0.0006497744,0.0006403795,0.0004082443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001981162,"about_ca_system_score_gemma":0.0002359142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004289749,"about_ca_topic_score_gemma":0.0005046651,"domain_scores_codex":[0.9999139,0.00001160535,0.00000604041,0.00002968709,0.00002403077,0.00001463462],"domain_scores_gemma":[0.9997545,0.00009665474,0.00003841962,0.00003662022,0.0000377594,0.00003604766],"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":[0.0002804052,0.0001231896,0.01136199,0.0004315105,0.0002544395,0.0006736021,0.001027204,0.06997162,0.4795399,0.2435752,0.00155028,0.1912107],"study_design_scores_gemma":[0.00001750397,0.0001465469,0.0463726,0.00003817266,0.00009736136,0.0005774975,0.0003144156,0.6837788,0.007790658,0.2570353,0.003758583,0.00007270003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.386439,0.002951036,0.5931743,0.001185757,0.0001190762,0.00004851913,0.0004046495,0.000303049,0.01537452],"genre_scores_gemma":[0.9538522,0.001261993,0.04160003,0.00009205477,0.0002502151,0.00004449118,0.0001938753,0.000118054,0.002586982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002966412,"threshold_uncertainty_score":0.009923637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730240625371177,"score_gpt":0.2524280624273688,"score_spread":0.225125656173657,"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."}}