{"id":"W2018960802","doi":"10.1016/s0263-2241(01)00022-7","title":"Refining visually estimated arrival times of short duration signals","year":2001,"lang":"en","type":"article","venue":"Measurement","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"PotashCorp (Canada); University of Saskatchewan","funders":"","keywords":"Refining (metallurgy); Duration (music); Arrival time; Computer science; Statistics; Engineering; Acoustics; Mathematics; Materials science; Transport engineering; Physics; Metallurgy","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":[0.0005123628,0.000074465,0.00009690422,0.00006703658,0.00008595164,0.00003763271,0.0002535075,0.00003152094,0.00004500765],"category_scores_gemma":[0.00002581248,0.00007023268,0.00004004807,0.0002785345,0.00001611662,0.0001402121,0.00003542375,0.00004644699,0.00001688942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005593352,"about_ca_system_score_gemma":0.00004139874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002140648,"about_ca_topic_score_gemma":0.000007180358,"domain_scores_codex":[0.9989959,0.0000274179,0.0002688917,0.0001853829,0.0004071525,0.0001152541],"domain_scores_gemma":[0.9993587,0.000009473287,0.00008100875,0.0002794468,0.0002314983,0.0000399097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001463063,0.0002458608,0.004147583,0.00001647994,0.00004414603,0.000004423902,0.0001997727,0.000699174,0.7805042,0.02907292,0.001702552,0.1833483],"study_design_scores_gemma":[0.0002287672,0.0003557043,0.02119015,0.000100102,0.00002196366,0.00002529348,0.00002402129,0.08153689,0.8812832,0.002636776,0.01227035,0.0003267649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01598901,0.00004964376,0.9762739,0.0003660861,0.00003784153,0.0001163364,5.111233e-7,0.0002587162,0.006907929],"genre_scores_gemma":[0.9624291,0.000006464614,0.03732637,0.0000604052,0.00001904488,0.00004406528,0.00000122234,0.000004809518,0.0001084801],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9464401,"threshold_uncertainty_score":0.2864006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08736030753413024,"score_gpt":0.3095955709263465,"score_spread":0.2222352633922162,"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."}}