{"id":"W2135430220","doi":"10.1109/iembs.2005.1616741","title":"High Quality Appearance Models of Heart Sub-Components Based on MR Images","year":2005,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Computer science; Artificial intelligence; Quality (philosophy); Computer vision; Pattern recognition (psychology); Physics","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":[0.0009084538,0.0005180765,0.0005372434,0.0008572817,0.0001687172,0.0009691063,0.0004684457,0.0006294511,0.001535567],"category_scores_gemma":[0.003017335,0.0004723309,0.0008923911,0.0005664506,0.0003884183,0.0007772131,0.0005191987,0.0006620141,0.0007355949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003708627,"about_ca_system_score_gemma":0.0003226924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009115453,"about_ca_topic_score_gemma":0.001469273,"domain_scores_codex":[0.9994311,0.0001364242,0.00003584529,0.0001158782,0.00024232,0.00003834717],"domain_scores_gemma":[0.9988637,0.0003820859,0.0001083266,0.0004188226,0.0001838109,0.00004319154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007674567,0.0002043256,0.007305935,0.0002378677,0.0002227426,0.0003766735,0.0005130731,0.2779464,0.3961612,0.004082711,0.002560957,0.3096207],"study_design_scores_gemma":[0.00004175001,0.0003076373,0.02201001,0.00002290268,0.0001306753,0.001950057,0.000114947,0.8598796,0.1068181,0.003084418,0.005549028,0.00009086997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1949535,0.0001537848,0.8014978,0.0001213539,0.00003678774,0.0001178022,0.0003731968,0.001576385,0.001169458],"genre_scores_gemma":[0.6164168,0.0003001692,0.3792897,0.00007130076,0.00002519488,0.0001407886,0.001230197,0.0005861241,0.001939651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001535567,"threshold_uncertainty_score":0.005136967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795665723434143,"score_gpt":0.3154291914965306,"score_spread":0.2774725342621892,"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."}}