{"id":"W4386784371","doi":"10.1158/1557-3265.aacrahns23-po-031","title":"Abstract PO-031: Integrated bioinformatics and functional spatial analysis platform for the discovery of predictive biomarkers in oral cancer","year":2023,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immune system; Proportional hazards model; Immunotherapy; Cancer; Oncology; Tumor microenvironment; Medicine; Survival analysis; Cancer immunotherapy; Internal medicine; Bioinformatics; Biology; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001434199,0.0009862492,0.0008264309,0.001151486,0.0004222743,0.001408207,0.001200825,0.00068551,0.005125939],"category_scores_gemma":[0.002301695,0.0003743819,0.001180678,0.0006735637,0.0003693089,0.0006738009,0.001367447,0.0009141241,0.001998375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000566564,"about_ca_system_score_gemma":0.001709606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003018345,"about_ca_topic_score_gemma":0.003730069,"domain_scores_codex":[0.9996177,0.00007690962,0.00002092983,0.0001395835,0.0001142898,0.00003052268],"domain_scores_gemma":[0.9995323,0.0001673755,0.00006280327,0.00007054915,0.0001094247,0.00005761416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003540477,0.001308729,0.06415696,0.001596092,0.001395229,0.001286139,0.0007421795,0.2547761,0.1836431,0.01964276,0.08687068,0.3810416],"study_design_scores_gemma":[0.0001311921,0.0002483665,0.008878164,0.00003605338,0.0001282582,0.000208009,0.00008026178,0.9425457,0.02160653,0.01099714,0.01507291,0.00006731637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1759078,0.001336567,0.6935086,0.001373703,0.0002249298,0.0004944774,0.02581589,0.09552167,0.005816428],"genre_scores_gemma":[0.4879587,0.0008242339,0.4693379,0.0007441676,0.0001252914,0.001103468,0.03173862,0.003999654,0.004168007],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005125939,"threshold_uncertainty_score":0.01714796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2460111496242567,"score_gpt":0.4923340481755268,"score_spread":0.24632289855127,"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."}}