{"id":"W2166467625","doi":"10.1186/1748-717x-9-35","title":"Investigation of variability in image acquisition and contouring during 3D ultrasound guidance for partial breast irradiation","year":2014,"lang":"en","type":"article","venue":"Radiation Oncology","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Contouring; Seroma; Medicine; Ultrasound; Nuclear medicine; Breast imaging; Radiology; Breast cancer; Mammography; Surgery; Cancer; Internal medicine; Complication; Computer science","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":[0.004830178,0.00021606,0.0002526447,0.000476036,0.0001903398,0.0006500361,0.0003239435,0.0003024776,0.000381353],"category_scores_gemma":[0.03062685,0.0001887631,0.0002669058,0.0004160407,0.0003476217,0.0002749143,0.0004093218,0.0003558422,0.0001111169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281226,"about_ca_system_score_gemma":0.0002831932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005594706,"about_ca_topic_score_gemma":0.0006700261,"domain_scores_codex":[0.995698,0.0023426,0.0003356813,0.0004261098,0.001086863,0.0001107776],"domain_scores_gemma":[0.9595674,0.03064686,0.005322065,0.002036669,0.002065694,0.0003613562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008004074,0.0006038013,0.6947054,0.0003223805,0.0004135234,0.0005480798,0.003635737,0.01406858,0.08356994,0.0002056292,0.0004660618,0.1934568],"study_design_scores_gemma":[0.00008954754,0.004475317,0.9117989,0.00004126931,0.0002722788,0.002957812,0.000369254,0.03366338,0.04439792,0.0001950615,0.001646808,0.00009257098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919255,0.0002040896,0.007502041,0.00001930406,0.000006461303,0.00002585392,0.0000445577,0.00004316363,0.0002289437],"genre_scores_gemma":[0.997488,0.00002755522,0.002317138,0.00001231909,0.00000704012,0.00001745543,0.00006435876,0.00002607612,0.00004008672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004830178,"threshold_uncertainty_score":0.02554476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006467087593581689,"score_gpt":0.2595913846868852,"score_spread":0.2531242970933035,"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."}}