{"id":"W2895381724","doi":"10.1016/j.celrep.2018.08.095","title":"Sub-populations of Spinal V3 Interneurons Form Focal Modules of Layered Pre-motor Microcircuits","year":2018,"lang":"en","type":"article","venue":"Cell Reports","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Dalhousie University; Brain Research UK; Wellcome Trust; Nova Scotia Research Innovation Trust","keywords":"Neuroscience; Interneuron; Motor neuron; Biology; Anatomy; Spinal cord","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":[],"consensus_categories":[],"category_scores_codex":[0.00008921884,0.0001188531,0.0001955836,0.00007395691,0.00002726218,0.000008335659,0.0001021991,0.00006800476,0.0000431292],"category_scores_gemma":[0.00002937237,0.0001175963,0.00009189713,0.00008847672,0.00007434302,0.00006934224,0.00003545568,0.00007858413,0.000007084024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000226718,"about_ca_system_score_gemma":0.00001716104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005770308,"about_ca_topic_score_gemma":0.00005272657,"domain_scores_codex":[0.998992,0.000007719115,0.0005127953,0.0001716477,0.0001430618,0.0001727864],"domain_scores_gemma":[0.9993119,0.000008596773,0.0001429233,0.0003670091,0.0001090238,0.00006057564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001663243,0.0001302283,0.007951492,0.0004013547,0.00004461475,0.00008225158,0.0007794081,0.006100161,0.9661218,0.0003468794,0.0009504179,0.01707479],"study_design_scores_gemma":[0.00004996227,0.0001633646,0.0206953,0.00007124793,0.00001880974,0.00007479548,0.00001752154,0.008304266,0.9691913,0.0005039317,0.0007727256,0.0001368228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138403,0.0002012981,0.08318246,0.000003171506,0.0005248707,0.0001516901,0.00000625049,0.00007543988,0.002014544],"genre_scores_gemma":[0.9988337,0.00001904838,0.0008252133,0.000004286306,0.00007727538,0.000006738761,0.000005673238,0.00003296209,0.0001950839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08499344,"threshold_uncertainty_score":0.479544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426747003622106,"score_gpt":0.2533121309314598,"score_spread":0.2290446608952388,"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."}}