{"id":"W3178017050","doi":"10.3389/fonc.2021.695404","title":"Identification of Predictive Biomarkers for Lymph Node Involvement in Obese Women With Endometrial Cancer","year":2021,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Israel Cancer Research Fund","keywords":"Endometrial cancer; Medicine; Lymphadenectomy; Oncology; Internal medicine; Lymph node; In silico; Cancer; Bioinformatics; Gene; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002955547,0.0002914345,0.0003321112,0.0007671426,0.0001529599,0.0004678814,0.0001466732,0.0002754611,0.001109549],"category_scores_gemma":[0.0008263655,0.0001690825,0.0002704993,0.0007088434,0.0001430842,0.0001530181,0.0002920242,0.0003037844,0.0002148806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065487,"about_ca_system_score_gemma":0.0001616259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000606717,"about_ca_topic_score_gemma":0.001140483,"domain_scores_codex":[0.9998937,0.00002894694,0.00001013079,0.00002163159,0.00001966285,0.00002599832],"domain_scores_gemma":[0.9997415,0.00009225222,0.00009182676,0.00001579993,0.00002405579,0.00003463664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009407489,0.00006349719,0.9618902,0.00008674303,0.000121975,0.000244455,0.00006018482,0.0007313745,0.01836314,0.00005505011,0.0005896285,0.01685303],"study_design_scores_gemma":[0.00002778919,0.0001610335,0.9890977,0.00003601594,0.0001763538,0.0005446816,0.0001894943,0.004573763,0.003243138,0.0002213065,0.001717775,0.00001086487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959189,0.00185707,0.0006238666,0.0001416874,0.00001755705,0.0000144706,0.001005189,0.00001982373,0.0004014004],"genre_scores_gemma":[0.9969555,0.0005918309,0.001008779,0.00005807253,0.00002463382,0.00001689609,0.001126806,0.000004680143,0.0002128272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001109549,"threshold_uncertainty_score":0.00371176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092065293265906,"score_gpt":0.2977326618719392,"score_spread":0.2868120089392802,"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."}}