{"id":"W2520042235","doi":"10.6084/m9.figshare.3502238.v1","title":"MNI T1 6thGen NLIN to MNI 2009b NLIN ANTs transform","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001498851,0.0004931004,0.0009285426,0.0002220433,0.000127947,0.00002037019,0.0004198552,0.0005994578,0.2857033],"category_scores_gemma":[0.003276585,0.0003396016,0.0002167259,0.0001890883,0.00004333198,0.0000455402,0.0001637598,0.0008018021,0.02567055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007454076,"about_ca_system_score_gemma":0.0002649717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002767688,"about_ca_topic_score_gemma":0.00006292513,"domain_scores_codex":[0.9975771,0.00006202352,0.0004691902,0.0006815453,0.000530745,0.000679424],"domain_scores_gemma":[0.9980802,0.0002286716,0.0001241364,0.0008143504,0.0001875762,0.0005650881],"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":[0.00005708534,0.00008340626,0.000005998554,0.0008972919,0.0001208336,0.0007808509,0.00005908842,2.369147e-8,0.000006022267,6.475125e-8,0.9815443,0.01644504],"study_design_scores_gemma":[0.0009421048,0.0002378802,0.0004615877,0.01018342,0.0001722298,0.000120325,0.00001871477,6.832419e-7,0.0000733612,0.000008806204,0.987394,0.0003868426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004396159,0.001870953,0.000001320612,0.005083187,0.0004093974,0.0007138739,0.9893792,0.0001116018,0.002426104],"genre_scores_gemma":[0.000008231135,0.000250964,0.00007043832,0.007192826,0.001591603,0.0005035911,0.9847535,0.00004508113,0.005583695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2600327,"threshold_uncertainty_score":0.9999056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06818627009803045,"score_gpt":0.3577521673937977,"score_spread":0.2895658972957672,"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."}}