{"id":"W2087358696","doi":"10.1145/1935701.1935706","title":"Multisensor broadband high dynamic range sensing","year":2010,"lang":"en","type":"article","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geophone; Computer science; Broadband; Wideband; SIGNAL (programming language); Acoustics; Accelerometer; Chord (peer-to-peer); Timeline; Set (abstract data type); Range (aeronautics); Real-time computing; Speech recognition; Electronic engineering; Engineering; Telecommunications; Physics; Geography","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":[0.0005930462,0.000548156,0.0006017754,0.0007609081,0.0002796745,0.000822845,0.001108679,0.001048258,0.002898067],"category_scores_gemma":[0.0007531113,0.0005728105,0.0004088343,0.0004698441,0.000521355,0.001952684,0.001280141,0.0005265074,0.001116676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000334592,"about_ca_system_score_gemma":0.0001438497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002174233,"about_ca_topic_score_gemma":0.0004579646,"domain_scores_codex":[0.9986737,0.0001841275,0.00004414756,0.0003728197,0.0006501372,0.00007505185],"domain_scores_gemma":[0.9996189,0.0001547024,0.00005615937,0.00007489247,0.00006941559,0.00002587309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000160562,0.00007736931,0.0009287048,0.0003885577,0.00005862759,0.0002047135,0.0001184837,0.00730119,0.7948936,0.007181662,0.001167692,0.1875188],"study_design_scores_gemma":[0.00008590225,0.001109245,0.005320104,0.0001513083,0.0001297274,0.003268684,0.0001895511,0.2128319,0.7079889,0.01149664,0.05713422,0.0002939419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04489398,0.004381273,0.9362846,0.0005059927,0.0002876792,0.00009238702,0.0001294707,0.001464672,0.01195992],"genre_scores_gemma":[0.5006289,0.001892631,0.4863168,0.0008418784,0.0003013338,0.0001214042,0.0001616099,0.00006765708,0.009667715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002898067,"threshold_uncertainty_score":0.009694993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005454977771000931,"score_gpt":0.1973331743272361,"score_spread":0.1918781965562351,"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."}}