{"id":"W3159846070","doi":"10.1785/0220200330","title":"Temporal Variation in Cultural Seismic Noise and Noise Correlation Functions during COVID-19 Lockdown in Canada","year":2021,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Geological Survey of Canada","funders":"","keywords":"Seismology; Seismic noise; Seismometer; Geology; Noise (video); Geography; China; Range (aeronautics); Physical geography; Engineering; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006928836,0.0001169254,0.0001906856,0.0001715945,0.0002648831,0.00008871646,0.0001206751,0.00007684321,0.0007949491],"category_scores_gemma":[0.0008275207,0.00009464816,0.00003632354,0.0009971967,0.0001115428,0.0002031848,0.00003889064,0.0005394178,0.00002792356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659817,"about_ca_system_score_gemma":0.0006737357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9452847,"about_ca_topic_score_gemma":0.7432427,"domain_scores_codex":[0.9977095,0.0005628078,0.0002796664,0.0004378718,0.0004967546,0.0005134279],"domain_scores_gemma":[0.9989496,0.0005371609,0.00004202463,0.0001416396,0.00005143923,0.0002781597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005022343,0.00001325705,0.8401604,0.0000165262,0.000008190684,0.0006919982,0.0001498674,0.1568451,0.0004739661,0.000009558261,0.0007930886,0.0007877416],"study_design_scores_gemma":[0.0004197809,0.00002047155,0.9042892,0.00001136091,0.000003943807,0.00002852484,0.001065309,0.09206029,0.00000814484,0.0002872079,0.001687875,0.0001178942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690998,0.0001751425,0.0005166117,0.0297872,0.00009999985,0.000130476,0.00005005282,0.00001135416,0.0001293999],"genre_scores_gemma":[0.9936212,0.00008464453,0.00008696503,0.005576265,0.0000588294,0.000002582829,0.000266426,0.000002412584,0.0003006956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.202042,"threshold_uncertainty_score":0.8704135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0412459709206108,"score_gpt":0.2795102011215651,"score_spread":0.2382642302009543,"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."}}