{"id":"W2989775743","doi":"10.1101/855130","title":"<i>En bloc</i> preparation of <i>Drosophila</i> brains enables high-throughput FIB-SEM connectomics","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Howard Hughes Medical Institute","keywords":"Connectomics; Ventral nerve cord; Connectome; Computer science; Neuroscience; Nervous system; Synapse; Spinal cord; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003260187,0.0006793885,0.0002957574,0.0006941956,0.0005744119,0.0006657496,0.000528427,0.0004248822,0.009294848],"category_scores_gemma":[0.0003923731,0.0004591348,0.0002674774,0.0003454591,0.0005608158,0.0005038293,0.0005617226,0.00101173,0.004949702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003063044,"about_ca_system_score_gemma":0.0003782477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137342,"about_ca_topic_score_gemma":0.004335107,"domain_scores_codex":[0.9998372,0.00001923251,0.00002107911,0.00005378952,0.0000476706,0.00002101208],"domain_scores_gemma":[0.9996046,0.00007818818,0.00005780744,0.0001391561,0.00008648018,0.00003367546],"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":[0.00003086159,0.00001017373,0.0002546667,0.0000773061,0.000007588397,0.00009702861,0.00003818712,0.0001365517,0.9910431,0.0008492662,0.002484296,0.004971064],"study_design_scores_gemma":[0.00001683736,0.00006525574,0.00757409,0.00004836425,0.00001968145,0.0009932254,0.00006819854,0.002401044,0.9485839,0.0006369981,0.03956733,0.00002500223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3189862,0.001920785,0.5887528,0.001773011,0.0005149544,0.00136564,0.01540329,0.01269242,0.05859093],"genre_scores_gemma":[0.2894478,0.00207087,0.6750665,0.0008703838,0.0001174091,0.001292977,0.01272861,0.00392687,0.01447849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009294848,"threshold_uncertainty_score":0.03109431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00625702077317998,"score_gpt":0.2611738909371723,"score_spread":0.2549168701639923,"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."}}