{"id":"W2949706158","doi":"10.4095/314747","title":"Site corrections and residual analysis for seismograph stations used for magnitude calculations in eastern Canada","year":2019,"lang":"en","type":"report","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Magnitude (astronomy); Residual; Seismometer; Geodesy; Geography; Moment magnitude scale; Geology; Seismology; Physics; Mathematics; Geometry; Astrophysics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008162148,0.0004107319,0.0003436972,0.002634033,0.0006147437,0.0007398591,0.0007750881,0.0001463953,0.002693133],"category_scores_gemma":[0.0047031,0.0001623228,0.0003483367,0.005904516,0.0003048274,0.0002127409,0.0003953049,0.0003304534,0.0004301024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005784163,"about_ca_system_score_gemma":0.008300885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9433638,"about_ca_topic_score_gemma":0.9738849,"domain_scores_codex":[0.9988997,0.00004960621,0.0001006077,0.0001621009,0.0006256276,0.0001622997],"domain_scores_gemma":[0.9956042,0.0003556026,0.0004409112,0.0002759967,0.003230822,0.00009246339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002569182,0.00005739106,0.7673932,0.0002947231,0.0001727474,0.0005095156,0.002235965,0.01124722,0.01825447,0.00136438,0.006685175,0.1915282],"study_design_scores_gemma":[0.000004179015,0.00002410936,0.9866651,0.00001203049,0.00004122503,0.00004791775,0.0007782388,0.002497494,0.003397427,0.00004355419,0.006471472,0.00001721425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607726,0.0002476937,0.01146281,0.00008339759,0.00003895548,0.0002879486,0.01738842,0.0006467972,0.00907143],"genre_scores_gemma":[0.9452454,0.0002459231,0.02362572,0.00003943124,0.000009048407,0.0001036922,0.01649262,0.000283234,0.01395505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05663621,"threshold_uncertainty_score":0.1139395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399108372840682,"score_gpt":0.2711309840532301,"score_spread":0.2371399003248232,"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."}}