{"id":"W4310729077","doi":"10.1097/01.ogx.0000905360.00777.66","title":"Diagnostic Routes and Time Intervals for Ovarian Cancer in Nine International Jurisdictions; Findings From the International Cancer Benchmarking Partnership (ICBP)","year":2022,"lang":"en","type":"article","venue":"Obstetrical & Gynecological Survey","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; Cancer Care Ontario","funders":"Medical Research Council; Cancer Research UK","keywords":"Medicine; Ovarian cancer; Cancer; Stage (stratigraphy); Benchmarking; Malignancy; General partnership; Internal medicine; Disease; Oncology; Gynecology","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008739542,0.0001726397,0.0003175198,0.0001473162,0.0002580322,0.0000820669,0.0002841562,0.0001084735,0.006301154],"category_scores_gemma":[0.009876458,0.0001285385,0.0001128345,0.0005737036,0.00007828193,0.00008146623,0.0003339519,0.0005626141,0.000005789422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008551382,"about_ca_system_score_gemma":0.0001056142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00432566,"about_ca_topic_score_gemma":0.002011632,"domain_scores_codex":[0.9980915,0.00029436,0.0003930085,0.0004933703,0.0004410341,0.0002867837],"domain_scores_gemma":[0.984644,0.01486767,0.0001126376,0.0001276223,0.0001320149,0.0001160782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001745201,0.000209433,0.9529949,0.000004635645,0.0001483021,0.00002102891,0.0002436666,0.0005510442,0.0001721454,0.00005695094,0.004695313,0.03915735],"study_design_scores_gemma":[0.00166622,0.0006384578,0.9659595,0.00003541938,0.00004994884,0.000007079805,0.00005848287,0.01406522,0.00004011865,0.0001633447,0.01716252,0.0001537187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985707,0.001915188,0.0002722329,0.007581006,0.002343165,0.0006838612,0.0007237315,0.00007620097,0.0006976539],"genre_scores_gemma":[0.9959524,0.0002230937,0.0001993701,0.001085382,0.0004067896,0.001104755,0.0003148579,0.00001634429,0.000697018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03900363,"threshold_uncertainty_score":0.9984637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04937602197996368,"score_gpt":0.3143758042097893,"score_spread":0.2649997822298257,"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."}}