{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002417803,0.0001631021,0.0002375091,0.001645037,0.001362741,0.001105134,0.0006617249,0.0003943239,0.002062792],"category_scores_gemma":[0.001606604,0.0002151442,0.0002085764,0.003714763,0.0004751977,0.0004004431,0.0009071145,0.0004717966,0.0002778926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01262499,"about_ca_system_score_gemma":0.01026815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906551,"about_ca_topic_score_gemma":0.9968647,"domain_scores_codex":[0.9997645,0.0000274719,0.00002697654,0.00005433292,0.00004758892,0.00007915562],"domain_scores_gemma":[0.9985946,0.0001496338,0.0001806156,0.00005882101,0.0007821185,0.0002342993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001065521,0.00004264996,0.9837818,0.00003023222,0.00009448934,0.0002287832,0.0008416953,0.001695266,0.0005342399,0.000378441,0.002945823,0.009319948],"study_design_scores_gemma":[0.000006512482,0.000002739788,0.9962256,0.00001408614,0.00002169406,0.00003026935,0.0009890889,0.001012976,0.000100807,0.00004759658,0.001540742,0.000007896978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994273,0.0001801206,0.0000626269,0.0001839058,0.000007360307,0.00001124674,0.003152127,0.00001500722,0.002114523],"genre_scores_gemma":[0.9941696,0.0002190407,0.000127466,0.00006371865,0.000002612277,0.00001517355,0.00265068,0.000009261143,0.002742597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01262499,"threshold_uncertainty_score":0.09160119,"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."}}