{"id":"W3017640771","doi":"10.17294/2330-0698.1720","title":"Can Magnetic Resonance Imaging Predict Pathologic Findings for Endometrioid Endometrial Cancer?","year":2020,"lang":"en","type":"article","venue":"Journal of patient-centered research and reviews","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vince Lombardi Cancer Foundation; Aurora Research Institute","keywords":"Medicine; Magnetic resonance imaging; Atypia; Radiology; Endometrial cancer; Gold standard (test); Cancer; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001770881,0.0003483582,0.0003706315,0.0007927023,0.0002067723,0.0005866712,0.0002828513,0.0006737749,0.001137224],"category_scores_gemma":[0.01312468,0.0001983229,0.0003019578,0.0005241685,0.0003904116,0.0008208788,0.0003630357,0.0004211961,0.0004685616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427601,"about_ca_system_score_gemma":0.0002923543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005498719,"about_ca_topic_score_gemma":0.001459139,"domain_scores_codex":[0.9992895,0.000372025,0.00009397199,0.00006897355,0.0001069804,0.00006852633],"domain_scores_gemma":[0.9953511,0.002637713,0.001137859,0.0002096938,0.0004292154,0.0002344091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001792549,0.00004031952,0.9919629,0.00002725006,0.00002242639,0.0001924579,0.0000460318,0.00007291139,0.0003134545,0.00001929518,0.00007750104,0.007046319],"study_design_scores_gemma":[0.00003107355,0.001188129,0.9930583,0.00004729569,0.0001084945,0.002378755,0.0004439213,0.001066639,0.0004840898,0.000146466,0.001034037,0.00001274017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928175,0.003075567,0.0009413522,0.0006347659,0.00005815137,0.00004580492,0.0001574557,0.00001180752,0.002257694],"genre_scores_gemma":[0.99817,0.0004792271,0.0009121849,0.0001102858,0.00007727115,0.000013691,0.0001054422,0.000002056494,0.0001298615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001770881,"threshold_uncertainty_score":0.009365439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1345635605886052,"score_gpt":0.3877765179932505,"score_spread":0.2532129574046452,"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."}}