{"id":"W2168287284","doi":"10.1109/isbi.2006.1625026","title":"Shape vs. Volume: Invariant Shape Descriptors for 3D Region of Interest Characterization in MRI","year":2006,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute on Aging; Deutsches Krebsforschungszentrum","keywords":"Caudate nucleus; Thalamus; Parkinson's disease; Invariant (physics); Region of interest; Subthalamic nucleus; Shape analysis (program analysis); Neuroscience; Nuclear medicine; Anatomy; Medicine; Psychology; Mathematics; Disease; Biology; Pathology; Radiology; Deep brain stimulation","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":[0.001639139,0.0005810814,0.001152718,0.003701964,0.0002268888,0.001525789,0.000921863,0.0006307846,0.0006953219],"category_scores_gemma":[0.004126634,0.0004054742,0.001075734,0.002457784,0.0009891462,0.001280446,0.0009578353,0.0006355552,0.0005554593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005095294,"about_ca_system_score_gemma":0.0006370968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318583,"about_ca_topic_score_gemma":0.001276176,"domain_scores_codex":[0.998832,0.0002325088,0.0001022747,0.0001733919,0.0005741514,0.00008566665],"domain_scores_gemma":[0.9983441,0.0005989684,0.0003208348,0.0002812211,0.0003696493,0.00008519253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003661397,0.0001583862,0.006894401,0.0003095786,0.0002149878,0.0001455134,0.0002094416,0.08611838,0.09265719,0.01699925,0.002418788,0.7935079],"study_design_scores_gemma":[0.00003982719,0.0003974048,0.007789841,0.00003533141,0.00007791081,0.0004609126,0.0001028591,0.9450849,0.02862827,0.01285855,0.004416866,0.00010732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02533524,0.0003743147,0.9729892,0.0001181593,0.0000338203,0.00007171805,0.0001594738,0.000502062,0.000415979],"genre_scores_gemma":[0.3424466,0.000645322,0.6544759,0.0001389837,0.0001712649,0.0002659064,0.000733103,0.0002919324,0.0008308935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003701964,"threshold_uncertainty_score":0.008668721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04068126510733724,"score_gpt":0.2647147086783405,"score_spread":0.2240334435710032,"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."}}