{"id":"W4294685782","doi":"10.1080/03610918.2022.2116748","title":"OTL web interface: outlier testing in lifetime data","year":2022,"lang":"en","type":"article","venue":"Communications in Statistics - Simulation and Computation","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Interface (matter); Outlier; Computer science; Database; World Wide Web; Operating system; 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":[0.0005901946,0.0001013036,0.0001906349,0.0002586795,0.0001901082,0.00003809351,0.0003795016,0.00002586644,0.00005378406],"category_scores_gemma":[0.0009145763,0.0001257741,0.000008850294,0.0005978576,0.00008806726,0.0001432769,0.001031657,0.0003127317,0.00001142705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001466682,"about_ca_system_score_gemma":0.0001457138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006252402,"about_ca_topic_score_gemma":0.0001406309,"domain_scores_codex":[0.9985559,0.0003407715,0.0004845253,0.0002709818,0.000219737,0.0001280935],"domain_scores_gemma":[0.9972923,0.001304789,0.000153664,0.001066339,0.0001262546,0.00005660978],"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":[0.0001094293,0.0005336138,0.1612565,0.00006402295,0.00002093905,0.00001194746,0.0009038663,0.7179552,0.00005709201,0.00170634,0.001145159,0.1162358],"study_design_scores_gemma":[0.001028522,0.00004511452,0.1544273,0.00003600372,0.00001525248,0.000004993372,0.0002470473,0.8393565,2.703037e-7,0.001045896,0.003697044,0.00009605155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4253713,0.002308882,0.553635,0.002684992,0.0003685729,0.002702679,0.007275235,0.0004336076,0.005219716],"genre_scores_gemma":[0.9221663,0.00003405738,0.07213496,0.0001780576,0.00001072328,0.00003356143,0.005380652,0.00001718794,0.00004450969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.496795,"threshold_uncertainty_score":0.5128919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2186375666181994,"score_gpt":0.4710614577907027,"score_spread":0.2524238911725033,"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."}}