{"id":"W2030857309","doi":"10.1016/j.neuron.2015.03.056","title":"Unraveling a Locomotor Network, Many Neurons at a Time","year":2015,"lang":"en","type":"letter","venue":"Neuron","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Neuroscience; Psychology; Communication","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":[0.000936866,0.0004394873,0.0006762233,0.0002504951,0.001303278,0.001753149,0.0008656007,0.01394194,0.004940519],"category_scores_gemma":[0.004245655,0.0002651663,0.0004723078,0.0001556694,0.00242184,0.00224892,0.0008112391,0.01507819,0.003600314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280793,"about_ca_system_score_gemma":0.0008196302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001442137,"about_ca_topic_score_gemma":0.003275065,"domain_scores_codex":[0.9996747,0.00006237812,0.00003462223,0.00006879914,0.0001078629,0.00005163502],"domain_scores_gemma":[0.9984126,0.0007704575,0.0000978059,0.0001317357,0.0002847507,0.0003026623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002764706,0.00004627215,0.0009211768,0.000198247,0.00003186003,0.002512061,0.000128054,0.000301278,0.002413094,0.01552484,0.9003371,0.07730962],"study_design_scores_gemma":[0.0001047473,0.0001026789,0.001433043,0.0001483284,0.00002892616,0.002169485,0.0002384708,0.001228186,0.001652161,0.06458776,0.9282644,0.0000418716],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001451423,0.00757355,0.00138935,0.9527809,0.03298988,0.000007810346,0.00006276948,0.00008764337,0.003656669],"genre_scores_gemma":[0.03394787,0.01376634,0.003008043,0.7820753,0.1389131,0.00004708281,0.0001146541,0.00005345505,0.02807413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01394194,"threshold_uncertainty_score":0.01652765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05294786009375362,"score_gpt":0.2866538326880734,"score_spread":0.2337059725943197,"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."}}