{"id":"W2981968645","doi":"10.1785/0220190202","title":"The Canadian National Seismograph Network: Upgrade and Status","year":2019,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Seismometer; Upgrade; Broadband; Instrumentation (computer programming); Seismology; Telecommunications; Geography; Computer science; Engineering; Environmental science; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001854381,0.0000963096,0.000107781,0.00009934349,0.001320509,0.0002036501,0.0002229606,0.00006987737,0.0006702752],"category_scores_gemma":[0.0003511411,0.00005528438,0.00004041779,0.0004116868,0.0006330073,0.00007072772,0.00003540792,0.0005332689,0.0004408614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002159851,"about_ca_system_score_gemma":0.0001952211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2047312,"about_ca_topic_score_gemma":0.2072077,"domain_scores_codex":[0.9974128,0.0003021643,0.0001204647,0.0002749875,0.0007247019,0.0011649],"domain_scores_gemma":[0.9976685,0.001785363,0.00001932217,0.0001311131,0.00008385888,0.0003118135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002746311,0.000002819185,0.92163,0.000003701279,0.00003670422,0.0000364729,0.00005826414,0.0006459397,0.000004036879,0.003729791,0.03430633,0.03951843],"study_design_scores_gemma":[0.00009526058,0.00007653207,0.6809328,0.000003297009,9.326298e-7,0.000006178197,0.00005524357,0.0004847742,8.440173e-7,0.00553491,0.3127461,0.00006313822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207622,0.00215535,0.000004151869,0.04750516,0.0002333318,0.0003059356,0.00002752924,0.0000255023,0.02898083],"genre_scores_gemma":[0.9903386,0.0004440468,0.00009261298,0.008405747,0.0001355183,0.000003397013,0.00002088567,0.000002225457,0.0005569165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2784398,"threshold_uncertainty_score":0.9999796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05550515507443374,"score_gpt":0.2935098830420201,"score_spread":0.2380047279675863,"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."}}