{"id":"W4297329647","doi":"10.48550/arxiv.0903.1869","title":"Confidence Regions for Means of Random Sets using Oriented Distance\\n Functions","year":2009,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; University of South Carolina","keywords":"Set (abstract data type); Image (mathematics); Mathematics; Data set; Computer science; Estimation; Algorithm; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.02471641,0.001414714,0.001773124,0.004954667,0.0008893722,0.004255167,0.004172659,0.002617464,0.002286872],"category_scores_gemma":[0.1346115,0.001118638,0.002132592,0.002416266,0.006027903,0.005212314,0.004362357,0.003583446,0.0005566494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00200245,"about_ca_system_score_gemma":0.001331418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139986,"about_ca_topic_score_gemma":0.0006246575,"domain_scores_codex":[0.9885699,0.005803823,0.0005790813,0.001932168,0.002631371,0.0004835827],"domain_scores_gemma":[0.8834978,0.1005091,0.00574218,0.004046263,0.005234017,0.0009705605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000507903,0.00008471253,0.003765195,0.0003756395,0.0002079108,0.0002761144,0.0006191666,0.3838216,0.004178111,0.5510442,0.0009942433,0.0541252],"study_design_scores_gemma":[0.00003350969,0.0001005218,0.0009141399,0.00009839497,0.00003309349,0.0001522771,0.00006051933,0.8561874,0.003313969,0.1377922,0.00125291,0.00006110007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01119692,0.0003656921,0.9876652,0.0001156659,0.00001345974,0.00003135808,0.00003742452,0.0001060042,0.0004682377],"genre_scores_gemma":[0.4505731,0.001320974,0.5444528,0.0001988864,0.0002463243,0.0006494485,0.0006576018,0.00037364,0.001527164],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02471641,"threshold_uncertainty_score":0.1307144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003249942283969,"score_gpt":0.2436869334748517,"score_spread":0.1433619392464547,"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."}}