{"id":"W2774018923","doi":"","title":"Stochastic Segmentation Trees for Multiple Ground Truths.","year":2017,"lang":"en","type":"article","venue":"Uncertainty in Artificial Intelligence","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Segmentation; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002952059,0.0001240843,0.000133785,0.0001094827,0.0005884253,0.0004208246,0.001046187,0.00006664318,0.00001385698],"category_scores_gemma":[0.0002452735,0.000124571,0.00007299185,0.0001408834,0.0001205256,0.0004218952,0.00009216493,0.00009631117,0.00003644783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009314295,"about_ca_system_score_gemma":0.00003933222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006498058,"about_ca_topic_score_gemma":0.001293949,"domain_scores_codex":[0.9988641,0.00002106325,0.000341993,0.0003901855,0.0001353834,0.0002472725],"domain_scores_gemma":[0.998695,0.0002240275,0.0001921226,0.0007329,0.00009808676,0.00005782527],"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":[0.00003508853,0.0001453202,0.0001378047,0.000007942359,0.00000655699,0.000001366145,0.0006691084,0.02862026,0.008066508,0.3453508,0.00006675944,0.6168925],"study_design_scores_gemma":[0.00004841452,0.0000953273,0.0006503757,0.00001713541,0.000003350413,0.000001706851,0.0002209721,0.7997108,0.03179588,0.1670067,0.0002742815,0.0001750532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0169228,0.00001193836,0.9809943,0.0009067465,0.0002402257,0.0006031186,0.000009579409,0.0001369266,0.0001743032],"genre_scores_gemma":[0.9679865,0.000006296223,0.03135657,0.00007684956,0.00008498259,0.0004062926,0.000005111831,0.000007684404,0.00006976427],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9510636,"threshold_uncertainty_score":0.5079859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07325594585640749,"score_gpt":0.3439437889214061,"score_spread":0.2706878430649986,"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."}}