{"id":"W6901701814","doi":"10.60692/bwt7p-6jk30","title":"The Medical Segmentation Decathlon","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Polytechnique Montréal","funders":"","keywords":"Segmentation; Task (project management); Set (abstract data type); Image segmentation; Image (mathematics); Scale-space segmentation; Segmentation-based object categorization; Range (aeronautics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0005103776,0.00008219038,0.00006953105,0.00006905309,0.001118451,0.0001944733,0.0008909437,0.00002287458,0.00001491805],"category_scores_gemma":[0.00001349704,0.00005949108,0.00003656993,0.0004607874,0.00002117403,0.000689737,0.0004039137,0.0001339483,0.0002906896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529393,"about_ca_system_score_gemma":0.00004911692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001148334,"about_ca_topic_score_gemma":1.106229e-7,"domain_scores_codex":[0.9984963,0.00009831867,0.0003776193,0.0001218953,0.0007189985,0.000186883],"domain_scores_gemma":[0.9991174,0.00002997955,0.0002181697,0.0004968864,0.00005965991,0.00007795198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001107677,0.00001845603,0.02562556,0.0001718803,0.0001250012,0.00003418711,0.2037332,0.03861275,0.00001434525,0.4700495,0.01102715,0.2504772],"study_design_scores_gemma":[0.001900015,0.000153692,0.01266395,0.0000361408,0.00001611107,0.0008590452,0.02293301,0.8721031,0.0008317931,0.0002404581,0.08760554,0.0006571583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02189552,0.000006152074,0.9735863,0.001267087,0.0006126633,0.0003907689,0.000009638914,0.0003913381,0.001840535],"genre_scores_gemma":[0.9967692,2.330346e-7,0.001978652,0.0005570053,0.00004305687,0.0005332883,0.000008157484,0.000003759278,0.0001066436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9748737,"threshold_uncertainty_score":0.8602331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373047442053694,"score_gpt":0.2337900830950976,"score_spread":0.2100596086745607,"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."}}