{"id":"W4295927372","doi":"10.1101/2022.09.13.22279853","title":"Prognostic refinement of NSMP high-risk endometrial cancers using oestrogen receptor immunohistochemistry","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre","funders":"Manchester Biomedical Research Centre; KWF Kankerbestrijding; National Institute for Health and Care Research","keywords":"Internal medicine; Immunohistochemistry; Endometrial cancer; Hazard ratio; Oncology; Medicine; Proportional hazards model; Subgroup analysis; Adjuvant therapy; Survival analysis; Chemotherapy; Cancer; Meta-analysis; Confidence interval","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005822355,0.0004891093,0.001272683,0.0003960919,0.0001357631,0.0000176592,0.0004050245,0.0002794806,0.005713956],"category_scores_gemma":[0.001262307,0.000434364,0.0005663178,0.0008496786,0.0001370829,0.00002379523,0.0007717533,0.001071347,0.00001233253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002393099,"about_ca_system_score_gemma":0.001256356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006728778,"about_ca_topic_score_gemma":0.000006990853,"domain_scores_codex":[0.9964618,0.0001881046,0.0009815352,0.0008169288,0.001094293,0.0004573077],"domain_scores_gemma":[0.9973205,0.0003006409,0.0009545475,0.0009673286,0.0002023444,0.0002546862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00920531,0.001691832,0.8298935,0.004302931,0.005894696,0.0002228567,0.0003636972,0.001776448,0.1313892,0.00005183803,0.0006204805,0.01458719],"study_design_scores_gemma":[0.121841,0.01475252,0.1918291,0.007647681,0.03356367,0.0001744112,0.001328651,0.0007470474,0.5809033,0.001853131,0.03938119,0.005978242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878926,0.005970988,0.00005663665,0.0001143486,0.00272341,0.001455817,0.0008701384,0.00008072887,0.0008352993],"genre_scores_gemma":[0.9923759,0.001204114,0.003564593,0.00004890289,0.0009267565,0.0005176225,0.00074737,0.00008578615,0.0005289305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6380644,"threshold_uncertainty_score":0.9998855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366578893057134,"score_gpt":0.3148389522076769,"score_spread":0.2811731632771056,"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."}}