{"id":"W1987891135","doi":"10.1016/j.cmpb.2013.04.011","title":"Validation study of a fast, accurate, and precise brain tumor volume measurement","year":2013,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Volume (thermodynamics)","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":[0.005787932,0.0006851292,0.0005865213,0.001363577,0.0004367132,0.0007521456,0.001033751,0.001374111,0.0008780215],"category_scores_gemma":[0.01241878,0.000352871,0.0005014394,0.0006511527,0.0005951157,0.0005839532,0.0008596142,0.0004258726,0.0004350292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004008181,"about_ca_system_score_gemma":0.0008798355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001932245,"about_ca_topic_score_gemma":0.001393048,"domain_scores_codex":[0.9971806,0.0008166237,0.0002104466,0.0005875246,0.001080188,0.0001247245],"domain_scores_gemma":[0.9884189,0.005621473,0.0006375758,0.001565808,0.003586504,0.0001698341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004132439,0.001140712,0.06857063,0.0006950214,0.0005865121,0.0004566969,0.0005698588,0.06258762,0.5833012,0.00189686,0.001682498,0.2743799],"study_design_scores_gemma":[0.0003743088,0.006363528,0.07961982,0.00008606556,0.0005777295,0.002205939,0.000228759,0.4857709,0.4186898,0.0006562134,0.005307369,0.0001195653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6920177,0.001018001,0.3033861,0.0001055637,0.0001570833,0.0003469934,0.000552592,0.001221496,0.001194522],"genre_scores_gemma":[0.9006375,0.0001955867,0.09713422,0.00005754928,0.00002233882,0.0001431904,0.0009077388,0.0001180967,0.000783835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005787932,"threshold_uncertainty_score":0.03060991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0833055216989577,"score_gpt":0.379112733961979,"score_spread":0.2958072122630213,"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."}}