{"id":"W4393781894","doi":"10.5281/zenodo.4067118","title":"Human Brain MRI Template and Myelin Atlas","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Atlas (anatomy); Myelin; Neuroscience; Human brain; Brain atlas; Computer science; Psychology; Biology; Anatomy; Central nervous system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004528433,0.0002599799,0.0002331967,0.000289248,0.002880424,0.001225536,0.001170754,0.000169958,0.009461681],"category_scores_gemma":[0.001852873,0.000284341,0.00006159917,0.0006263799,0.0003189234,0.0001952376,0.001195911,0.000760974,0.03029532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103418,"about_ca_system_score_gemma":0.000005359084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001668261,"about_ca_topic_score_gemma":0.000001010552,"domain_scores_codex":[0.9971734,0.000704505,0.0003611545,0.0009242971,0.0004837119,0.0003528857],"domain_scores_gemma":[0.9986317,0.00006208882,0.0002500562,0.0006168254,0.0001501003,0.0002892847],"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":[0.00002412445,0.00005102211,3.276319e-8,0.0001024137,0.000008480621,0.00002942384,0.0001004255,0.000002254662,0.03090433,0.0003349455,0.9641942,0.004248385],"study_design_scores_gemma":[0.000381427,0.000233066,0.00004502099,0.00003232308,0.00001626388,0.0002160059,0.00005550732,0.00007455349,0.001320272,0.00008696901,0.9972534,0.0002852215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003256814,0.00002188203,0.0001932704,0.004351538,0.0002061197,0.0006547406,0.9838018,0.0009652684,0.009479673],"genre_scores_gemma":[0.004530126,0.0002141267,0.00002263587,0.001965954,0.0003686582,1.354842e-7,0.9902323,0.00125758,0.001408458],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03305921,"threshold_uncertainty_score":0.9999609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06390672083278773,"score_gpt":0.280510571666488,"score_spread":0.2166038508337003,"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."}}