{"id":"W4394527338","doi":"10.6084/m9.figshare.23606779","title":"Additional file 1 of Multiomics data analyses to identify SLC25A17 as a novel biomarker to predict the prognosis and immune microenvironment in head and neck squamous cell carcinoma","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Head and neck squamous-cell carcinoma; Biomarker; Head and neck cancer; Basal cell; Head and neck; Medicine; Computational biology; Oncology; Biology; Internal medicine; Cancer; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001439183,0.001284385,0.001365232,0.00163777,0.0006680953,0.001661558,0.001904793,0.001535454,0.3059275],"category_scores_gemma":[0.01537029,0.0005167316,0.001504006,0.002618451,0.0003068823,0.0008856471,0.001256098,0.001253383,0.04626673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157341,"about_ca_system_score_gemma":0.002094627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102487,"about_ca_topic_score_gemma":0.02102954,"domain_scores_codex":[0.9993191,0.0001061716,0.0001034413,0.0002430123,0.0001217978,0.0001065507],"domain_scores_gemma":[0.9945729,0.003535938,0.0004929362,0.0004918107,0.0006379756,0.0002683216],"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":[0.0005789938,0.0000988416,0.0100289,0.003537502,0.0003071726,0.0001168555,0.00006507493,0.001145512,0.0002891156,0.0007285693,0.9780688,0.005034657],"study_design_scores_gemma":[0.009809027,0.0004825396,0.07914044,0.00385516,0.001146323,0.001063657,0.0003390631,0.004713428,0.001898927,0.01011277,0.8872184,0.0002202845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001853571,0.0000224976,0.00005169016,0.00003767183,0.000005887754,0.00001441803,0.9995042,0.00005766168,0.0001205254],"genre_scores_gemma":[0.003525668,0.00007408547,0.0006316862,0.0001622643,0.00001938551,0.0004567805,0.9940366,0.0001016331,0.0009918949],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3059275,"threshold_uncertainty_score":0.9900102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040468419635863,"score_gpt":0.3455178570498023,"score_spread":0.241471015086216,"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."}}