{"id":"W2112093102","doi":"10.1093/gji/ggt400","title":"Time-varying autoregressive model for spectral analysis of microseismic experiments and long-period volcanic events","year":2013,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Microseismic Industry Consortium","keywords":"Autoregressive model; Short-time Fourier transform; Fourier transform; Time–frequency analysis; Spectral leakage; Computer science; Geology; Algorithm; Filter (signal processing); Mathematics; Fourier analysis; Statistics; Fast Fourier transform","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000895113,0.0001069904,0.0002023816,0.0002107976,0.0001036185,0.0000748176,0.0002320028,0.00003541827,0.001026456],"category_scores_gemma":[0.00002166924,0.00008666154,0.0001763606,0.0000945819,0.00008158609,0.0003676084,0.0000187963,0.0001203084,0.00003690087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001482946,"about_ca_system_score_gemma":0.00003399879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003563109,"about_ca_topic_score_gemma":0.000003051218,"domain_scores_codex":[0.9991325,0.00002213278,0.0002426091,0.0001633096,0.000259348,0.0001800957],"domain_scores_gemma":[0.9994553,0.00005116403,0.0001760275,0.00007065847,0.0001453459,0.0001014509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009451563,0.001052479,0.4492022,0.0000808749,0.01169338,0.00006304306,0.008293713,0.1212609,0.07253847,0.0004448439,0.06866495,0.2657599],"study_design_scores_gemma":[0.0002620271,0.00005773483,0.05365928,0.00002086288,0.00008937423,0.00001863148,0.00003897455,0.9418148,0.001431415,0.002443585,0.00006660787,0.00009665411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988817,0.00008947238,0.009786051,0.0006421271,0.0001860377,0.0001025172,0.00008592977,0.00001768491,0.0002731826],"genre_scores_gemma":[0.9954204,0.00002077053,0.0029407,0.0004438546,0.000120635,0.000002240164,0.00008352975,0.000003540682,0.0009643167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8205539,"threshold_uncertainty_score":0.9998868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356124677131764,"score_gpt":0.2558224655661491,"score_spread":0.2422612187948315,"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."}}