{"id":"W4394365269","doi":"10.6084/m9.figshare.22616299","title":"Additional file 5 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":"Identification (biology); Lymph node metastasis; Stomach; Lymph node; Signature (topology); Adenocarcinoma; Metastasis; Medicine; Oncology; Internal medicine; Pathology; 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":[0.0000388155,0.0002473512,0.0007374025,0.0002324566,0.00003001211,0.000009000232,0.0001623143,0.000308758,0.9065511],"category_scores_gemma":[0.006220069,0.0002065467,0.0002513133,0.0004958789,0.0000501009,0.00004495872,0.00007147773,0.0001984746,0.0004271402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015238,"about_ca_system_score_gemma":0.0005013309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007402841,"about_ca_topic_score_gemma":0.00005861462,"domain_scores_codex":[0.998085,0.00005378374,0.0005559636,0.0003631865,0.0007564229,0.0001856665],"domain_scores_gemma":[0.9954284,0.002486725,0.0006977565,0.0004116463,0.00088612,0.00008933041],"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":[0.00005329358,0.00104332,0.00002363666,0.003024498,0.0008031064,0.00005179047,0.000008444757,0.00000211799,0.000003414828,3.557046e-7,0.9948741,0.0001119175],"study_design_scores_gemma":[0.001200632,0.0006005252,0.1210681,0.04410854,0.002317289,0.0000162548,0.00005254537,0.00002006904,0.001459331,0.000005641616,0.8288223,0.0003288029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000495582,0.0003774984,2.155238e-8,0.00006662098,0.00002216116,0.0004664457,0.9990155,0.00002279584,0.0000239876],"genre_scores_gemma":[0.0009283902,0.00001079159,0.00004361748,0.00003017616,0.00006471276,0.00323543,0.9955472,0.00003562053,0.0001040418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9061239,"threshold_uncertainty_score":0.8422729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843706489867849,"score_gpt":0.2963044908578988,"score_spread":0.2578674259592203,"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."}}