{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009383747,0.001199147,0.0006731247,0.01191,0.004137183,0.004684688,0.004751997,0.001293337,0.02990973],"category_scores_gemma":[0.0177179,0.0006635038,0.0005210561,0.01653721,0.001477965,0.002834437,0.003306554,0.001646535,0.01100784],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05121576,"about_ca_system_score_gemma":0.1906753,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9853424,"about_ca_topic_score_gemma":0.9770408,"domain_scores_codex":[0.9908279,0.0003874591,0.0003370495,0.000551066,0.006403399,0.001493037],"domain_scores_gemma":[0.9449387,0.0006000225,0.0007974447,0.00150974,0.04714905,0.005005166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001948715,0.00005457903,0.01718689,0.0004426029,0.00003551905,0.00007102018,0.0002098779,0.0006105552,0.0004067612,0.006733849,0.8059385,0.1681148],"study_design_scores_gemma":[0.00003419875,0.00001732661,0.04455281,0.0002615695,0.0000273244,0.0000558245,0.000168649,0.0007982999,0.0003718006,0.000375076,0.9532954,0.0000418239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03027945,0.01967743,0.00860518,0.04395091,0.004937286,0.002211001,0.5258351,0.008439022,0.3560645],"genre_scores_gemma":[0.156773,0.02205282,0.02682424,0.006048104,0.001420893,0.0009965112,0.577607,0.001607103,0.2066703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9487842,"threshold_uncertainty_score":0.3715981,"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."}}