{"id":"W4388210205","doi":"10.1088/1361-6382/ad0922","title":"QoQ: a Q-transform based test for gravitational wave transient events","year":2023,"lang":"en","type":"article","venue":"Classical and Quantum Gravity","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; LIGO; Gravitational wave; Context (archaeology); Transient (computer programming); Noise (video); Filter (signal processing); Detector; Waveform; Sensitivity (control systems); Astrophysics; Computer science; Optics; Electronic engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007084967,0.0006998775,0.0006465511,0.001830286,0.0005979565,0.001507633,0.001437382,0.001819688,0.006373473],"category_scores_gemma":[0.0389746,0.0002128054,0.0006457751,0.0009934495,0.001550963,0.001843692,0.001887142,0.001346105,0.001360155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005094861,"about_ca_system_score_gemma":0.0007964149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00098474,"about_ca_topic_score_gemma":0.0007455553,"domain_scores_codex":[0.9950223,0.001941725,0.0002569032,0.0008951497,0.00153796,0.0003459036],"domain_scores_gemma":[0.9579657,0.03365066,0.003522465,0.002101401,0.00169982,0.001059867],"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":[0.006196941,0.001855467,0.3648457,0.0007681425,0.0008764644,0.001372205,0.0006745394,0.1071127,0.1059684,0.03336374,0.009828943,0.3671367],"study_design_scores_gemma":[0.0002198583,0.002442421,0.1179764,0.00007715831,0.0001120016,0.001403917,0.0003766485,0.7993937,0.05305592,0.01887834,0.00586938,0.0001942485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4751985,0.0003392297,0.5126022,0.0007126817,0.0002373091,0.0002437566,0.001566982,0.002957634,0.00614177],"genre_scores_gemma":[0.9473928,0.00003543019,0.05005682,0.0001963423,0.00006991093,0.0001398474,0.0008588919,0.0002154939,0.001034376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007084967,"threshold_uncertainty_score":0.03746933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145077879614962,"score_gpt":0.3338570523836226,"score_spread":0.302406273587473,"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."}}