{"id":"W4321599449","doi":"10.3390/s23052446","title":"Characterizing Ambient Seismic Noise in an Urban Park Environment","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Seismometer; Passive seismic; Ambient noise level; Seismic noise; Seismology; Noise (video); Geology; Remote sensing; Computer science","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":[0.0001896472,0.0004176165,0.0002966583,0.0009134675,0.0001613392,0.0005354875,0.0003268297,0.0002741184,0.0007178597],"category_scores_gemma":[0.0005245279,0.0001204551,0.0001453907,0.0006621201,0.0001902103,0.0003478402,0.0004803432,0.0001456984,0.0003710972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100181,"about_ca_system_score_gemma":0.000202281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539809,"about_ca_topic_score_gemma":0.004188956,"domain_scores_codex":[0.9997023,0.00004622326,0.00001166538,0.00008035544,0.0001230429,0.00003643535],"domain_scores_gemma":[0.9997571,0.00006135579,0.00004151327,0.00002646925,0.00008848751,0.00002511437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001071376,0.0003330332,0.1357868,0.0006024168,0.0002029358,0.002139322,0.001184539,0.08228747,0.3671004,0.001136258,0.001214855,0.4069406],"study_design_scores_gemma":[0.00008261202,0.001310732,0.4260358,0.0001008029,0.0003306543,0.002782575,0.00212863,0.3887996,0.1634113,0.001975478,0.01291645,0.000125335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7926207,0.0001492459,0.2041669,0.00002778422,0.00001994803,0.00005871921,0.0003747152,0.0005189616,0.002063071],"genre_scores_gemma":[0.9257221,0.0002115794,0.07202591,0.00001676335,0.0000259622,0.00006148387,0.0006075779,0.0000751859,0.001253382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001539809,"threshold_uncertainty_score":0.003061712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591541456006552,"score_gpt":0.2064134081294146,"score_spread":0.190497993569349,"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."}}