{"id":"W4254483371","doi":"10.1007/978-1-4614-6170-8_100085","title":"Event Detection","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Event (particle physics); Computer science; Physics","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":[0.0007277906,0.001767868,0.0009521306,0.002689911,0.0006544377,0.002452839,0.002311322,0.001083039,0.03637546],"category_scores_gemma":[0.002302872,0.0005552833,0.000788181,0.00188029,0.0004497426,0.002371247,0.001555081,0.001375675,0.03115767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005801113,"about_ca_system_score_gemma":0.0006727381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004527,"about_ca_topic_score_gemma":0.001262771,"domain_scores_codex":[0.9992691,0.00004651998,0.00003033737,0.0002413564,0.0003601454,0.00005253848],"domain_scores_gemma":[0.9990602,0.0002265993,0.00006469632,0.0002144886,0.0003793225,0.00005467385],"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":[0.00009525817,0.00008805085,0.0006899781,0.0002996681,0.00003440409,0.0001258351,0.0000858787,0.002648955,0.01368642,0.02129832,0.07551588,0.8854314],"study_design_scores_gemma":[0.00003123569,0.0001867054,0.00300882,0.0003430748,0.0001382388,0.002501664,0.0002013815,0.1017943,0.07379033,0.09649626,0.7213838,0.0001241273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004094369,0.003412772,0.8600315,0.0007307506,0.001194468,0.0003412303,0.00175004,0.01512533,0.1133194],"genre_scores_gemma":[0.09471222,0.007319923,0.5518306,0.001250501,0.001357378,0.0003029004,0.009081691,0.002384959,0.3317597],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03637546,"threshold_uncertainty_score":0.1216881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054786871149191,"score_gpt":0.2223032211309959,"score_spread":0.211755352419504,"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."}}