{"id":"W4308118708","doi":"10.3390/s22218372","title":"Fleet’s Geode: A Breakthrough Sensor for Real-Time Ambient Seismic Noise Tomography over DtS-IoT","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geophone; Noise (video); Ambient noise level; Sensitivity (control systems); Tomography; Passive seismic; Geology; Seismic noise; Acoustics; Computer science; Seismology; Electronic engineering; Engineering; Optics; Physics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000356945,0.000259163,0.0003623285,0.0002419148,0.0006107625,0.0001018366,0.0002886568,0.00006549581,0.006455712],"category_scores_gemma":[0.00002437777,0.0002375076,0.0004411585,0.0007092568,0.00008546787,0.0001046406,0.00003959514,0.0001902006,0.0002356015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001926727,"about_ca_system_score_gemma":0.00005000076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132855,"about_ca_topic_score_gemma":0.0001941446,"domain_scores_codex":[0.9977781,0.0001431429,0.0003493364,0.0005829497,0.0005265845,0.0006198711],"domain_scores_gemma":[0.998989,0.000206848,0.000148859,0.0004055549,0.00005514338,0.0001945565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006969151,0.0002600283,0.09453247,0.00009980803,0.0007495072,0.0002574692,0.001803697,0.8054784,0.002458573,0.0001912889,0.078399,0.01507285],"study_design_scores_gemma":[0.001027956,0.0004401246,0.08886465,0.0000120928,0.0002295167,0.00007253625,0.001470546,0.6346221,0.0001569364,0.001019604,0.2713593,0.000724668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924641,0.0002192001,0.00003178951,0.001169233,0.0004086986,0.0003528111,0.001829715,0.0001238598,0.003400603],"genre_scores_gemma":[0.9829456,0.0001041019,0.001199524,0.001858496,0.0002959057,0.000006664947,0.0007818213,0.00002202125,0.01278583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1929603,"threshold_uncertainty_score":0.9952551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009726578696386897,"score_gpt":0.2145759462974459,"score_spread":0.204849367601059,"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."}}