{"id":"W4393062477","doi":"10.2147/btt.s369783","title":"Novel Molecular Targets in Endometrial Cancer: Mechanisms and Perspectives for Therapy","year":2024,"lang":"en","type":"article","venue":"Biologics","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Endometrial cancer; Medicine; Identification (biology); Precision medicine; Personalized medicine; Cancer; Translational research; Targeted therapy; Biomarker; Computational biology; Bioinformatics; Biology; Internal medicine; Pathology","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":[0.001416416,0.0005357118,0.001054788,0.0009245362,0.000428842,0.001939616,0.0007640928,0.001216565,0.004682038],"category_scores_gemma":[0.0009803169,0.0002203324,0.0007622699,0.0005792273,0.0008987606,0.001673684,0.0009600674,0.003098081,0.001386825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008625564,"about_ca_system_score_gemma":0.001177701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004681243,"about_ca_topic_score_gemma":0.002175784,"domain_scores_codex":[0.9996334,0.0001339171,0.00002864532,0.00004749211,0.00008355116,0.00007300992],"domain_scores_gemma":[0.9996545,0.0001115433,0.00005932208,0.00002409813,0.00008610124,0.00006426565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009972701,0.0007041233,0.002605482,0.006334759,0.0003083887,0.001336796,0.0003624775,0.002049433,0.03427143,0.03891154,0.04699706,0.8651212],"study_design_scores_gemma":[0.0005468084,0.002623219,0.005346199,0.004135608,0.0004312173,0.003282999,0.0006670721,0.002626542,0.01055738,0.03749178,0.9322022,0.00008888672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005391766,0.9668044,0.002794868,0.01846459,0.0008498085,0.00005661061,0.0001409076,0.00008102131,0.005415956],"genre_scores_gemma":[0.06882317,0.908723,0.007590753,0.007557666,0.001887102,0.0001703747,0.0003316083,0.00003080701,0.004885477],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004682038,"threshold_uncertainty_score":0.01566297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06881452045671953,"score_gpt":0.3414309784189212,"score_spread":0.2726164579622017,"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."}}