{"id":"W2296192341","doi":"10.3389/fnins.2016.00019","title":"Spatial Noise in Coupling Strength and Natural Frequency within a Pacemaker Network; Consequences for Development of Intestinal Motor Patterns According to a Weakly Coupled Phase Oscillator Model","year":2016,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Coupling (piping); Noise (video); Phase (matter); Phase noise; Physics; Natural frequency; Coupling strength; Acoustics; Computer science; Materials science; Vibration; Optics; Condensed matter physics; Quantum mechanics; Artificial intelligence","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":[0.0003104791,0.000328232,0.0002923456,0.0002745913,0.0001904435,0.0004062693,0.0004686087,0.0003681789,0.0006008381],"category_scores_gemma":[0.001117101,0.0002458749,0.0003278946,0.0001311152,0.0006680803,0.0004753085,0.0003772966,0.0004463267,0.0001085395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002780511,"about_ca_system_score_gemma":0.000276657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005342665,"about_ca_topic_score_gemma":0.0004422098,"domain_scores_codex":[0.9998534,0.00003481216,0.000009698689,0.00003863043,0.00004173696,0.00002178722],"domain_scores_gemma":[0.9995667,0.0001356084,0.0001304296,0.0000410988,0.0000409885,0.00008504628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004378219,0.0001594125,0.008391815,0.0001180351,0.00005995498,0.0008386934,0.0002613544,0.3879304,0.5220473,0.07160001,0.0003372354,0.007818015],"study_design_scores_gemma":[0.00002572559,0.0001162532,0.002171334,0.000003994652,0.00001700752,0.0001164289,0.00002507744,0.9837066,0.006327568,0.007248857,0.000227178,0.00001405987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7277346,0.0001520886,0.268715,0.0001902099,0.00002183005,0.000037486,0.00007811293,0.0001322811,0.002938427],"genre_scores_gemma":[0.9871671,0.0001355368,0.01110948,0.00002585701,0.000009552289,0.00005973645,0.00003374127,0.00002572187,0.001433381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006008381,"threshold_uncertainty_score":0.002017438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891839129430001,"score_gpt":0.2737359588112834,"score_spread":0.2448175675169834,"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."}}