{"id":"W3156775487","doi":"10.24908/iqurcp.9960","title":"Open Source Software Implementation of Anatomical Segmentation","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Pediatric Urology and Nephrology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Segmentation; Thresholding; Voxel; Ventricle; Medicine; Lateral ventricles; Consistency (knowledge bases); Cerebral ventricle; Nuclear medicine; Artificial intelligence; Computer science; Biomedical engineering; Anatomy; Cardiology; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002023529,0.002149224,0.001215712,0.002352406,0.0008060268,0.002130524,0.004195387,0.002104293,0.1181375],"category_scores_gemma":[0.00625779,0.001598589,0.002034952,0.001990257,0.000716359,0.002174371,0.003070084,0.00236422,0.05569077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007651997,"about_ca_system_score_gemma":0.001873678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003779704,"about_ca_topic_score_gemma":0.004632514,"domain_scores_codex":[0.9988363,0.0001180257,0.0001566524,0.0003022418,0.0004465549,0.0001402547],"domain_scores_gemma":[0.998193,0.0006019988,0.0001269201,0.0002871221,0.0006655656,0.0001254171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001370527,0.0003673196,0.002443989,0.002084787,0.0004264087,0.0008700289,0.0006142457,0.02540287,0.02195278,0.01981916,0.4360559,0.4885918],"study_design_scores_gemma":[0.0007634807,0.0002783636,0.004358157,0.0004565295,0.0001546407,0.001257802,0.0001875962,0.3078439,0.04585084,0.03871839,0.5998259,0.0003044406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002318111,0.0002343382,0.6100435,0.0002388888,0.000303767,0.0003904387,0.01154614,0.3620571,0.01286774],"genre_scores_gemma":[0.03933123,0.0005892112,0.7669719,0.0004979874,0.0001315003,0.002133125,0.059251,0.09782147,0.03327259],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1181375,"threshold_uncertainty_score":0.3952091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172832558695116,"score_gpt":0.4446100913288212,"score_spread":0.3273268354593096,"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."}}