{"id":"W2901020795","doi":"10.3389/fncir.2018.00094","title":"A Pipeline for Volume Electron Microscopy of the Caenorhabditis elegans Nervous System","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neural Circuits","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Lunenfeld-Tanenbaum Research Institute; SickKids Foundation; Mount Sinai Hospital","funders":"National Institute of Neurological Disorders and Stroke; Medical Research Council; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Human Frontier Science Program","keywords":"Caenorhabditis elegans; Neuroscience; Nervous system; Central nervous system; Biology; Pipeline (software); Volume (thermodynamics); Computer science; Physics; Genetics","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":[0.0001594546,0.000182356,0.0002442436,0.00005219402,0.0001102589,0.00001921803,0.0004438748,0.0001639423,0.000002926474],"category_scores_gemma":[0.00006002206,0.0001600638,0.0001324804,0.0001328575,0.000196234,0.000004474445,0.00006992133,0.000108492,0.000001981626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004658395,"about_ca_system_score_gemma":0.00007969187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006747757,"about_ca_topic_score_gemma":0.0001482162,"domain_scores_codex":[0.9987141,0.00007397903,0.0003094689,0.0003672145,0.0001314372,0.0004037352],"domain_scores_gemma":[0.9991825,0.000005520676,0.0001434933,0.000467498,0.0001460162,0.00005497479],"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":[0.00008573818,0.00007852163,0.03743622,0.0001984595,0.00005317715,0.00000211774,0.0005677601,0.0002311704,0.8701708,0.00004127752,0.08562034,0.005514449],"study_design_scores_gemma":[0.00124662,0.0007147608,0.01357685,0.0000524406,0.00007136532,0.00004256026,0.0002312329,0.008214302,0.9533772,0.0001158731,0.02197005,0.0003867119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447451,0.001301117,0.05066993,0.0001710846,0.00216957,0.0005770391,0.00008585649,0.00001678871,0.0002634791],"genre_scores_gemma":[0.996896,0.00002587622,0.0007897429,0.0002433009,0.0005469564,0.00002953332,0.00003995627,0.0000393196,0.001389334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08320646,"threshold_uncertainty_score":0.6527213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006309001296173258,"score_gpt":0.2283168114856343,"score_spread":0.222007810189461,"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."}}