{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004820538,0.001757131,0.001450012,0.003348665,0.0004708628,0.002261367,0.002350476,0.001524236,0.1930105],"category_scores_gemma":[0.02860997,0.0009008444,0.001257482,0.001857246,0.000530281,0.003480266,0.003147954,0.00162066,0.06625524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007570421,"about_ca_system_score_gemma":0.001068106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002651112,"about_ca_topic_score_gemma":0.00268264,"domain_scores_codex":[0.9981917,0.000438835,0.0002212473,0.0002465475,0.0007435547,0.0001581322],"domain_scores_gemma":[0.98068,0.0141145,0.0007579827,0.001905656,0.002013369,0.0005285305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001499904,0.0002912894,0.007206019,0.001034607,0.000173085,0.0008472448,0.0004110533,0.006800905,0.004926139,0.008250603,0.7089745,0.2595845],"study_design_scores_gemma":[0.002191909,0.0006449832,0.0134897,0.000885531,0.0001388672,0.001816127,0.0003226778,0.37892,0.02785256,0.05706459,0.5162039,0.00046918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.00391581,0.0002333595,0.3791839,0.0006480846,0.0002414254,0.0005176081,0.04468906,0.5590899,0.01148085],"genre_scores_gemma":[0.1308731,0.0008273638,0.4917794,0.002871287,0.0007285938,0.004176195,0.1400964,0.1815497,0.04709803],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1930105,"threshold_uncertainty_score":0.6456845,"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."}}