{"id":"W2163225033","doi":"10.1016/j.brachy.2010.02.182","title":"Can Preoperative MRI Images Minimize Contouring Variability in Prostate Brachytherapy Patients?","year":2010,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Contouring; Medicine; Prostate cancer; Magnetic resonance imaging; Ultrasound; Nuclear medicine; Prostate; Brachytherapy; Standard deviation; Prostatectomy; Radiology; Radiation treatment planning; Radiation therapy; Cancer; Internal medicine","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":[0.001148205,0.0003498523,0.0005312499,0.0004201581,0.0002174957,0.0006773279,0.0002913848,0.0006886616,0.001157256],"category_scores_gemma":[0.01490681,0.0002212324,0.000242992,0.0004517777,0.0003250107,0.0009561427,0.0001996613,0.0005946088,0.0003214053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706102,"about_ca_system_score_gemma":0.0003473374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008040955,"about_ca_topic_score_gemma":0.001594422,"domain_scores_codex":[0.9995578,0.0001757606,0.00007066913,0.00003903901,0.0001139773,0.00004267655],"domain_scores_gemma":[0.9971763,0.001644666,0.0006436175,0.0001564319,0.0002655846,0.000113437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004432749,0.0002522956,0.258799,0.00096925,0.0002024549,0.003832561,0.0005685535,0.01030667,0.07162348,0.0009684328,0.00697227,0.6410722],"study_design_scores_gemma":[0.0002210234,0.002735678,0.8242705,0.000302698,0.0005991347,0.02525318,0.001205483,0.03974533,0.08683401,0.003139349,0.01549615,0.0001975241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9049169,0.01133906,0.06478767,0.008457015,0.0007009477,0.00006313543,0.0003128957,0.0004562996,0.008966138],"genre_scores_gemma":[0.9860585,0.00231387,0.01030997,0.0003551627,0.0003307564,0.00001953335,0.00007598074,0.0001588895,0.0003773447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001157256,"threshold_uncertainty_score":0.006072402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002894609581954768,"score_gpt":0.1987723884020944,"score_spread":0.1958777788201396,"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."}}