{"id":"W4394490943","doi":"10.6084/m9.figshare.1216668","title":"Corpus Callosum Mask in ICBM152 Space","year":2014,"lang":"en","type":"dataset","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); Anatomy; Computer science; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.000818031,0.002378381,0.001522158,0.002602507,0.0007688877,0.001657298,0.003389029,0.002329073,0.1138469],"category_scores_gemma":[0.004821217,0.0006157514,0.001387896,0.002800123,0.0004074428,0.0007841752,0.0018207,0.001292428,0.08758746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209573,"about_ca_system_score_gemma":0.002168557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810495,"about_ca_topic_score_gemma":0.03156674,"domain_scores_codex":[0.9994296,0.00007285226,0.00006897513,0.0002499662,0.00008384564,0.00009464502],"domain_scores_gemma":[0.9987146,0.0003610597,0.0001275128,0.0003999973,0.0002791811,0.0001176828],"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":[0.0002088842,0.0000301015,0.001440148,0.0007266072,0.00006772456,0.00007459718,0.00002993408,0.0003352438,0.0002839168,0.0002997121,0.9903752,0.006127789],"study_design_scores_gemma":[0.0007220667,0.00007492265,0.01433088,0.0005281508,0.0001424846,0.0005877694,0.0001118525,0.001057046,0.00153626,0.001923121,0.9789219,0.00006360707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000432746,0.00009237933,0.0001495731,0.00004817477,0.00002544277,0.0000338861,0.99812,0.0005681738,0.0005296835],"genre_scores_gemma":[0.001458273,0.00005614378,0.0006770279,0.00004609329,0.00001590024,0.000321755,0.9964103,0.0001781433,0.0008364174],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1138469,"threshold_uncertainty_score":0.3808558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931838673893815,"score_gpt":0.2651096951910725,"score_spread":0.2357913084521343,"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."}}