{"id":"W2146330379","doi":"10.1109/iembs.2005.1616449","title":"Intensity Robust Viscous Fluid Deformation Based Morphometry Using Regionally Adapted Mutual Information","year":2005,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Deformation (meteorology); Mutual information; Intensity (physics); Geology; Computer science; Artificial intelligence; Physics; Optics","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":[0.001072119,0.000763436,0.0007796573,0.001285594,0.0003791147,0.0008629456,0.00135845,0.0007663939,0.0007286269],"category_scores_gemma":[0.002794646,0.0005828372,0.001217434,0.0008913327,0.0009980524,0.0013768,0.001272554,0.0008042047,0.0004858264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006778826,"about_ca_system_score_gemma":0.0006444796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102085,"about_ca_topic_score_gemma":0.001570642,"domain_scores_codex":[0.9994152,0.0001391689,0.00003478579,0.0001430698,0.0002335834,0.00003414037],"domain_scores_gemma":[0.9992959,0.0002240404,0.0002105452,0.0001542541,0.00008775698,0.00002739301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001344928,0.00006289039,0.0009780703,0.0002343899,0.0001814877,0.000151439,0.0003579267,0.4576788,0.1186675,0.04140637,0.00151188,0.3786348],"study_design_scores_gemma":[0.00000845753,0.00007595811,0.0009393584,0.00001481725,0.00003459844,0.0002294355,0.00002319629,0.9525139,0.02461686,0.01740225,0.004082506,0.00005870494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003150484,0.00006668449,0.996214,0.00004397411,0.000006925356,0.00001460733,0.00001600725,0.0002420362,0.0002452506],"genre_scores_gemma":[0.1429207,0.0003050087,0.8544965,0.00005984702,0.00005141527,0.0001130596,0.0001429337,0.0003879943,0.001522531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00135845,"threshold_uncertainty_score":0.005670011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072580737994779,"score_gpt":0.2588863381075773,"score_spread":0.2281605307276295,"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."}}