{"id":"W3010437603","doi":"10.1002/dneu.22738","title":"Central pattern generating networks in insect locomotion","year":2020,"lang":"en","type":"review","venue":"Developmental Neurobiology","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität zu Köln; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; Deutsche Forschungsgemeinschaft","keywords":"Crawling; Central pattern generator; Rhythm; Biology; Neuroscience; Insect; Movement (music); Sensory system; Property (philosophy); Computer science; Ecology; Anatomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001862941,0.0007241828,0.001781513,0.0003557144,0.0002205115,0.00003847113,0.0009362103,0.0007438112,0.0001978805],"category_scores_gemma":[0.000336195,0.000624814,0.0002909523,0.0008359459,0.0003766625,0.0001105861,0.0007387959,0.002231918,0.0003918547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000213503,"about_ca_system_score_gemma":0.0004077633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000124458,"about_ca_topic_score_gemma":0.00002447237,"domain_scores_codex":[0.9933097,0.0027053,0.001028226,0.001604337,0.000105449,0.001247038],"domain_scores_gemma":[0.998413,0.0008026551,0.0003278519,0.0002628021,0.0000139067,0.0001797457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003635792,0.0001753086,0.0002867285,0.001208702,0.00003641306,0.001027662,0.000101852,0.00006316593,0.008237183,0.00006497423,0.000736358,0.9880253],"study_design_scores_gemma":[0.0006600943,0.0004674553,0.000253525,0.001191034,0.00004423392,0.002336917,0.000006689504,0.0005175493,0.001004394,0.0000250239,0.9922992,0.001193875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01213005,0.9780151,0.0002828258,0.0001854063,0.004139862,0.003567581,0.0001739943,0.0004196803,0.001085502],"genre_scores_gemma":[0.00788607,0.989101,0.00004397118,0.001959378,0.0003119671,0.0002102993,0.0003179694,0.00009283805,0.00007649513],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9915628,"threshold_uncertainty_score":0.9996203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09182695720716329,"score_gpt":0.3193609683042424,"score_spread":0.2275340110970791,"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."}}