{"id":"W4415038688","doi":"10.1785/0220250211","title":"High-Precision Detection of Clock Errors in Seismograms from the Ordos Block Using Multicomponent Noise Cross Correlations","year":2025,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"","keywords":"Seismogram; Waveform; Standard deviation; Range (aeronautics); Block (permutation group theory); Noise (video); Robustness (evolution); Ambient noise level","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":[0.001015925,0.0004326499,0.0002283603,0.001778989,0.000210976,0.0005514512,0.000333446,0.0001932106,0.0004934888],"category_scores_gemma":[0.002244587,0.0001469965,0.0001904742,0.001490367,0.0001812044,0.0003529431,0.0005041819,0.000192174,0.0002036849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223459,"about_ca_system_score_gemma":0.0003873851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007893403,"about_ca_topic_score_gemma":0.01868154,"domain_scores_codex":[0.9994654,0.0001077491,0.00003244764,0.000143577,0.000198866,0.00005205903],"domain_scores_gemma":[0.9988301,0.0002303092,0.0002698052,0.0001708116,0.0004479712,0.00005100298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004301354,0.0001357261,0.5938205,0.0001286462,0.0002136931,0.0003049727,0.0003976524,0.04515146,0.06708415,0.000814255,0.001144617,0.2903742],"study_design_scores_gemma":[0.00003678538,0.000111542,0.7130101,0.00002347728,0.00007992158,0.0001925296,0.0001791437,0.2631544,0.02028193,0.0004710144,0.002406013,0.00005307106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448431,0.000158391,0.05277936,0.00002704038,0.00002417263,0.00002523131,0.000545059,0.000281912,0.001315677],"genre_scores_gemma":[0.983708,0.00004076747,0.0154663,0.000006109457,0.00001716367,0.00001009066,0.0004743301,0.00002576204,0.0002516714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007893403,"threshold_uncertainty_score":0.01569492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05673781718278802,"score_gpt":0.3333260950903939,"score_spread":0.2765882779076059,"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."}}