{"id":"W10524987","doi":"10.1023/a:1006438723879","title":"Linked Hydrologic and Climate Variations in British Columbia and Yukon","year":2001,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Spring (device); Environmental science; Climate change; Climatology; Spatial distribution; Climate model; Spatial variability; Physical geography; Hydrology (agriculture); Geography; Geology; Meteorology; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001288441,0.00006800734,0.0001031326,0.00001921933,0.0002060426,0.0002097233,0.00002883281,0.00004707912,0.0004740859],"category_scores_gemma":[0.000001591749,0.00009215315,0.000009140334,0.00003372856,0.00005820762,0.0001339886,0.00002867119,0.0001083156,0.000004693965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009219199,"about_ca_system_score_gemma":0.000002653091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0161956,"about_ca_topic_score_gemma":0.02240584,"domain_scores_codex":[0.9993527,0.00003091565,0.0001159328,0.0002132214,0.00008862861,0.000198597],"domain_scores_gemma":[0.999782,0.00005098317,0.00002867261,0.00005276318,7.410615e-7,0.00008488505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002235145,0.00002025619,0.9727041,0.000006375984,0.000003064255,0.00003378684,0.00009208779,0.00001207642,0.0002569394,4.672944e-7,0.000004268683,0.02686431],"study_design_scores_gemma":[0.0003196994,0.00008939784,0.9955227,0.00002646592,0.0000076362,0.00005918341,0.000461459,0.002717805,0.00000235273,0.00006757538,0.0006184063,0.0001072567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978487,0.001172204,0.000001533661,0.00007818779,0.0001314498,0.00009972655,0.0001945394,0.00001120652,0.0004624709],"genre_scores_gemma":[0.9834444,0.01598407,0.0002305321,0.00002785994,0.00009487548,0.000003660814,0.000143997,0.000002795452,0.00006778714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02675705,"threshold_uncertainty_score":0.9954327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978931031131284,"score_gpt":0.2381893794214479,"score_spread":0.2184000691101351,"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."}}