{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001344785,0.0001072659,0.0002239777,0.0001538263,0.00002089106,0.00001585959,0.00003502197,0.00008987661,0.0000621704],"category_scores_gemma":[0.0001634304,0.00006668561,0.00007973213,0.0003438736,0.00003276893,0.00002097253,0.00001698768,0.00007394944,0.000001713126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009715817,"about_ca_system_score_gemma":0.0000510091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001134951,"about_ca_topic_score_gemma":0.000009139909,"domain_scores_codex":[0.9993692,0.0000136019,0.000114136,0.0002670574,0.00007440768,0.0001615719],"domain_scores_gemma":[0.9996694,0.0001750275,0.00001648933,0.00005408415,0.00003221672,0.00005275528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003348229,0.0005457369,0.001797587,0.0001401468,0.00049396,0.0000914355,0.0005991582,0.00000555822,0.7233458,0.05199519,0.00010982,0.2175274],"study_design_scores_gemma":[0.1174941,0.02922185,0.06534187,0.0008240499,0.0007282389,0.0001547797,0.003144761,0.001884255,0.510869,0.1226867,0.1456997,0.001950774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6322033,0.3273717,0.02794241,0.006170358,0.001436651,0.003033348,0.0004137494,0.0002366539,0.001191825],"genre_scores_gemma":[0.987216,0.007522068,0.004433653,0.0002946416,0.0002137477,0.0001956073,0.00001670094,0.00001186384,0.00009574232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3550127,"threshold_uncertainty_score":0.271936,"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."}}