{"id":"W1620232892","doi":"10.1016/j.radonc.2015.09.010","title":"Variation in apparent diffusion coefficient measurements among women with locally advanced cervical cancer","year":2015,"lang":"en","type":"article","venue":"Radiotherapy and Oncology","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Histology; Medicine; Effective diffusion coefficient; Cervical cancer; Normalization (sociology); Pooling; Coefficient of variation; Analysis of variance; Statistics; Cancer; Pathology; Mathematics; Internal medicine; Radiology; Computer science; Artificial intelligence","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":[0.000582514,0.000134557,0.0002005342,0.0007183101,0.0002955232,0.0004107922,0.0003398794,0.0003522055,0.0005178719],"category_scores_gemma":[0.006287259,0.0001703501,0.0001415027,0.0006966903,0.0003286397,0.0003261577,0.0002963739,0.0002685663,0.000136334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004402066,"about_ca_system_score_gemma":0.0001882648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009481256,"about_ca_topic_score_gemma":0.01124732,"domain_scores_codex":[0.9993532,0.0001911648,0.0000670412,0.0002178755,0.00009695211,0.00007374209],"domain_scores_gemma":[0.9978058,0.001141955,0.000494102,0.0001871742,0.0002615406,0.0001094281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001795208,0.00001735485,0.9928276,0.00001268878,0.00006871339,0.0001095702,0.0005730194,0.00007251139,0.001918476,0.00004805585,0.0001275041,0.004044964],"study_design_scores_gemma":[0.000001528433,0.00003436436,0.9987967,0.000002294971,0.00001609186,0.0002391765,0.0003297533,0.0001485897,0.0002017103,0.00003073541,0.0001956817,0.000003409808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987919,0.0002570314,0.0001982708,0.00005746243,0.000006855582,0.00000349572,0.0001320984,0.000007168929,0.0005456227],"genre_scores_gemma":[0.9997193,0.00004405202,0.00004482074,0.00001302405,0.00000386723,0.000002128536,0.00008301117,0.000003265064,0.00008649859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009481256,"threshold_uncertainty_score":0.01885211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234801634338282,"score_gpt":0.323545211813054,"score_spread":0.2911971954696712,"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."}}