{"id":"W2263046296","doi":"10.6084/m9.figshare.1216668.v2","title":"Corpus Callosum Mask in ICBM152 Space","year":2014,"lang":"en","type":"article","venue":"Figshare","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corpus callosum; Space (punctuation); Artificial intelligence; Computer vision; Computer science; Anatomy; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005166348,0.0009378305,0.0008041361,0.0017207,0.0006514243,0.001340758,0.001307087,0.0010349,0.487186],"category_scores_gemma":[0.005458635,0.0004650364,0.000429356,0.001791127,0.000220575,0.000921589,0.001217625,0.0007404845,0.120696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084656,"about_ca_system_score_gemma":0.001100917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003225331,"about_ca_topic_score_gemma":0.004089204,"domain_scores_codex":[0.9997453,0.00003165206,0.00003794199,0.00006767059,0.00007589922,0.00004159858],"domain_scores_gemma":[0.9984123,0.0006041206,0.0000925971,0.0004443555,0.0003675968,0.00007904509],"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":[0.0007580001,0.00003226492,0.0008846428,0.0005268912,0.00002940964,0.0003431299,0.0001462961,0.0003610329,0.003080492,0.001622613,0.9180489,0.07416632],"study_design_scores_gemma":[0.0003845569,0.0001003565,0.01185795,0.0003203028,0.00004549268,0.002186872,0.0001134403,0.001613594,0.008621575,0.003499852,0.9711931,0.00006279098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01079873,0.0006322856,0.01890936,0.0008841602,0.0007008478,0.0009402636,0.8948565,0.02309349,0.04918437],"genre_scores_gemma":[0.07732764,0.0007013342,0.09268197,0.001091076,0.0005313862,0.007058355,0.7377565,0.03318143,0.04967027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.487186,"threshold_uncertainty_score":0.7314669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391389001364671,"score_gpt":0.2416252306823189,"score_spread":0.2177113406686721,"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."}}