{"id":"W2186034276","doi":"","title":"Recovery of Low Frequency Data from 10Hz Geophones","year":2011,"lang":"en","type":"article","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geophone; USable; Computer science; Bandwidth (computing); Measure (data warehouse); Computer hardware; Real-time computing; Electronic engineering; Engineering; Telecommunications; Acoustics; Physics; Database","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":[0.00009961997,0.00006412468,0.0001314051,0.00003876309,0.00002751553,0.00001030196,0.0004289822,0.00003356223,0.06103224],"category_scores_gemma":[0.00002121208,0.00004545776,0.00004074319,0.0001259025,0.00003699609,0.000249991,0.00002094251,0.00003633723,0.0007191428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":4.304781e-7,"about_ca_system_score_gemma":0.00002106905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1468188,"about_ca_topic_score_gemma":0.00735054,"domain_scores_codex":[0.9993821,0.00001991813,0.0001649133,0.0002064583,0.0001099769,0.0001166337],"domain_scores_gemma":[0.9993234,0.00006047342,0.00005706781,0.0004920504,0.00001466412,0.0000523731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002989371,0.0000440775,0.9586806,0.0000129041,0.0001556994,0.00001724105,0.0001609047,0.00005150002,0.0001984969,0.00006571761,0.006631448,0.0339515],"study_design_scores_gemma":[0.0001130184,0.00005763759,0.9718878,0.00001415898,0.00004598726,0.000001133132,0.0003440358,0.009781482,0.000439844,0.01640417,0.0007587236,0.0001519939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221576,0.0005384855,0.0003888679,0.00005112768,0.0002593163,0.00002992708,0.001238133,0.00001937299,0.07531711],"genre_scores_gemma":[0.990473,0.0002493143,0.007092612,0.0002362505,0.00007464413,4.47194e-8,0.00102657,0.000001492162,0.0008460855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1394683,"threshold_uncertainty_score":0.9398261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05744080577267997,"score_gpt":0.2076627103509529,"score_spread":0.1502219045782729,"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."}}