{"id":"W4389109095","doi":"10.1145/3628454.3628497","title":"Dual-Stage OOD Detection Learning with an Unsupervised Start","year":2023,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Stage (stratigraphy); Dual (grammatical number); Artificial intelligence; Unsupervised learning; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00272435,0.001536565,0.001956427,0.001641704,0.001112185,0.002422809,0.00380564,0.002965907,0.01043526],"category_scores_gemma":[0.008208424,0.001051871,0.002113931,0.001289672,0.001208795,0.003630092,0.004853904,0.00378449,0.00509982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008595519,"about_ca_system_score_gemma":0.002242307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005719357,"about_ca_topic_score_gemma":0.00800248,"domain_scores_codex":[0.9981358,0.0003716114,0.0001086468,0.0006036763,0.0005348571,0.0002453771],"domain_scores_gemma":[0.9952199,0.002350892,0.0001910617,0.0007063342,0.001177519,0.0003543435],"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":[0.0009589134,0.0005183271,0.003021157,0.0002433577,0.0001852808,0.0001573195,0.0002062262,0.08836162,0.01109932,0.007339512,0.01498503,0.8729239],"study_design_scores_gemma":[0.00003698455,0.0001208087,0.0004046286,0.00002035976,0.00003286658,0.00005122426,0.00003171933,0.9876836,0.003266598,0.005871945,0.002456848,0.00002232717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01509809,0.0007510058,0.9754996,0.0005332201,0.0002837105,0.0001532546,0.0002531614,0.003835752,0.003592208],"genre_scores_gemma":[0.3100849,0.0005688973,0.6576027,0.001159002,0.0005584853,0.0004568046,0.002438052,0.000800808,0.02633034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01043526,"threshold_uncertainty_score":0.03490943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775943430398741,"score_gpt":0.2614013485217202,"score_spread":0.2336419142177328,"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."}}