{"id":"W4280614681","doi":"10.31223/x52s80","title":"Broadband Ocean Bottom Seismometer Noise Properties","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Lamont-Doherty Earth Observatory, Columbia University; Ocean Life Institute, Woods Hole Oceanographic Institution; Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Seismometer; Microseism; Noise (video); Seismology; Broadband; Geology; Ambient noise level; Seismic noise; Acoustics; Remote sensing; Computer science; Telecommunications; Physics; Oceanography","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":[0.001531447,0.0008407832,0.0005705476,0.006789649,0.0003881107,0.0009013333,0.0006483446,0.0003818606,0.001664332],"category_scores_gemma":[0.003726976,0.0003987757,0.0006664469,0.005786975,0.0002681199,0.0008745402,0.001234253,0.0004918996,0.001192092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004188859,"about_ca_system_score_gemma":0.0006440431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01387317,"about_ca_topic_score_gemma":0.02502894,"domain_scores_codex":[0.9988856,0.00009292114,0.0001701999,0.0003021212,0.0004467786,0.000102408],"domain_scores_gemma":[0.9947812,0.0006946284,0.001437522,0.001109469,0.001712216,0.0002650054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002406875,0.0001675173,0.7973685,0.0008846633,0.0007103824,0.0004203714,0.0009011139,0.01448272,0.04489196,0.0008510203,0.01840309,0.1206781],"study_design_scores_gemma":[0.00001562729,0.0001392649,0.9538686,0.0001084496,0.0001992006,0.0003265278,0.000257093,0.005611264,0.004976601,0.0003575455,0.03407261,0.00006718731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8084946,0.001180104,0.03060871,0.000139132,0.00009951235,0.0001111796,0.1506838,0.001973254,0.006709648],"genre_scores_gemma":[0.6292821,0.001021214,0.0365457,0.0001386618,0.0001396538,0.0003086239,0.3289323,0.0008236933,0.002808084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01387317,"threshold_uncertainty_score":0.02758479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596892612546986,"score_gpt":0.210540413272013,"score_spread":0.1845714871465432,"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."}}