{"id":"W2071487504","doi":"10.1097/rmr.0b013e318267fe94","title":"Atlas Learning in Fetal Brain Development","year":2011,"lang":"en","type":"review","venue":"Topics in Magnetic Resonance Imaging","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Österreichischen Akademie der Wissenschaften; European Commission","keywords":"Population; Magnetic resonance imaging; Atlas (anatomy); Computer science; Artificial intelligence; Brain anatomy; Relevance (law); Data science; Machine learning; Medicine; Radiology","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":[0.002102438,0.0007040463,0.0008000195,0.002333153,0.0003132262,0.001257962,0.001489355,0.001239134,0.002655455],"category_scores_gemma":[0.005384491,0.0003691884,0.0005589906,0.002192501,0.001665332,0.002043967,0.00112792,0.001322323,0.001594992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384944,"about_ca_system_score_gemma":0.001719677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004073876,"about_ca_topic_score_gemma":0.003599342,"domain_scores_codex":[0.9994823,0.0001777821,0.00005057213,0.0001049018,0.0001632644,0.00002128138],"domain_scores_gemma":[0.998422,0.00106247,0.0001061726,0.000116027,0.0002497766,0.00004344677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002025859,0.0000124744,0.0005827372,0.002646244,0.00005137052,0.0001556628,0.000160885,0.005155147,0.0006004937,0.04012789,0.01043768,0.9400492],"study_design_scores_gemma":[0.00001537968,0.00007650911,0.003334731,0.003183637,0.00008306014,0.003608814,0.0001993819,0.008170932,0.00354834,0.07849361,0.8992087,0.00007699058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001720181,0.910212,0.0762132,0.002130098,0.0006670519,0.0000441813,0.0001923599,0.0002287225,0.008592183],"genre_scores_gemma":[0.0233265,0.9212682,0.04935232,0.0004863409,0.0005879733,0.00008346634,0.0003765878,0.00008475051,0.004433815],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004073876,"threshold_uncertainty_score":0.01111889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720700670546531,"score_gpt":0.3036472599022418,"score_spread":0.2664402531967766,"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."}}