{"id":"W4394439790","doi":"10.6084/m9.figshare.22616314","title":"Additional file 10 of Identification of critical prognosis signature associated with lymph node metastasis of stomach adenocarcinomas","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Lymph node metastasis; Identification (biology); Stomach; Signature (topology); Lymph node; Metastasis; Medicine; Adenocarcinoma; Oncology; Internal medicine; Pathology; Computer science; Biology; Cancer; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004569763,0.0002564765,0.0007547459,0.0002380176,0.0000313852,0.000009756212,0.0001692661,0.0003226216,0.8852069],"category_scores_gemma":[0.005518096,0.000214686,0.0002571551,0.0004992394,0.00005148427,0.00004726371,0.00007416098,0.0001913459,0.0005684267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584807,"about_ca_system_score_gemma":0.0004965418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007395522,"about_ca_topic_score_gemma":0.00006084412,"domain_scores_codex":[0.9980207,0.00005665898,0.0005723427,0.0003775541,0.0007810175,0.0001917425],"domain_scores_gemma":[0.9958222,0.001969858,0.0006954816,0.0004277048,0.0009919885,0.00009277534],"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":[0.00007232613,0.001100992,0.00002274032,0.003060418,0.0008254742,0.00005080305,0.000008507571,0.000002098291,0.000003867882,4.258348e-7,0.9947374,0.0001148887],"study_design_scores_gemma":[0.001497405,0.0007385419,0.1055075,0.03876857,0.002727005,0.00001615,0.00005270778,0.00002373178,0.001912403,0.000007090055,0.8483854,0.0003634746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008663772,0.0004563267,2.281818e-8,0.00007484807,0.00002293069,0.0004791481,0.9989037,0.00002366864,0.00003072308],"genre_scores_gemma":[0.001284554,0.00001133235,0.00003666726,0.00002719662,0.00006792746,0.002617958,0.9957093,0.0000367907,0.0002082456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8846385,"threshold_uncertainty_score":0.875464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061119297812683,"score_gpt":0.3001852872363782,"score_spread":0.2595740942582514,"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."}}