{"id":"W6945395175","doi":"10.25493/dgez-q93","title":"Ultrahigh resolution 3D cytoarchitectonic map of Area hOc1 (V1, 17, CalcS) created by a Deep-Learning assisted workflow","year":2019,"lang":"en","type":"dataset","venue":"EBRAINS","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affine transformation; Transformation (genetics); Volume (thermodynamics); Section (typography); Pattern recognition (psychology); Convolutional neural network; Filter (signal processing); Workflow; Dimension (graph theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003716548,0.001389042,0.0008155602,0.001770806,0.0005489207,0.001064428,0.001434509,0.001000242,0.02267872],"category_scores_gemma":[0.0009420966,0.0005058692,0.001030948,0.001130261,0.0003041989,0.0005476257,0.001299004,0.001341785,0.01546293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00078531,"about_ca_system_score_gemma":0.00120888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007524855,"about_ca_topic_score_gemma":0.02328993,"domain_scores_codex":[0.9997059,0.0000171769,0.00001702976,0.0001051653,0.0001032572,0.00005155337],"domain_scores_gemma":[0.999504,0.00008727259,0.00003088621,0.0001569499,0.0001798127,0.00004117554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005955126,0.0002377789,0.007656842,0.001785335,0.000401228,0.0009231427,0.000333592,0.008188921,0.06378232,0.002024153,0.7648566,0.1492145],"study_design_scores_gemma":[0.0003488036,0.0003137459,0.07743976,0.0005416785,0.0002653057,0.003371417,0.0004494126,0.03988492,0.1017552,0.01081323,0.7645382,0.0002782791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05199716,0.001099,0.03736133,0.0004520332,0.0004824804,0.0003509299,0.8614948,0.03676045,0.01000196],"genre_scores_gemma":[0.04842008,0.0003667339,0.04487032,0.0002519237,0.00005605418,0.000640704,0.8966118,0.003547475,0.005234942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02267872,"threshold_uncertainty_score":0.07586783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014069940866468,"score_gpt":0.2619654026730098,"score_spread":0.2418247032643451,"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."}}