{"id":"W3010757426","doi":"","title":"Connectivity Between Eurasian Snow Cover Extent and Canadian Snow Water Equivalent and River Discharge","year":2005,"lang":"en","type":"article","venue":"AGUFM","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Snow; Arctic; Discharge; Hydrology (agriculture); Structural basin; Inlet; Drainage basin; Climatology; Physical geography; Environmental science; Snow line; Climate change; Snow cover; Geology; Oceanography; Geography; Geomorphology","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":[0.0002000762,0.0001567992,0.0001284407,0.0009816067,0.0005817018,0.0006468777,0.0004113176,0.000153193,0.001855508],"category_scores_gemma":[0.0009317593,0.00008493941,0.0001736092,0.00178425,0.0003341065,0.000237822,0.0004079588,0.0001607422,0.0001192787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002640696,"about_ca_system_score_gemma":0.002581782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8840705,"about_ca_topic_score_gemma":0.9544678,"domain_scores_codex":[0.9998578,0.00001403132,0.00000760448,0.00005028386,0.00002382274,0.00004638971],"domain_scores_gemma":[0.9995174,0.00005865602,0.0001732286,0.00002474743,0.0001607416,0.00006519744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002006797,0.000004386242,0.9956669,0.000005864047,0.00003732554,0.00005038532,0.0001982374,0.0007212225,0.0003818501,0.0002168548,0.0002680096,0.002428864],"study_design_scores_gemma":[8.074837e-7,0.000003577713,0.9986598,0.000002840332,0.000006649092,0.0000202583,0.0001303325,0.0006247129,0.00004526102,0.00003121213,0.000472227,0.000002180934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948587,0.000114239,0.0002390986,0.00007126389,0.000002217442,0.000005366938,0.002403541,0.000009394475,0.002295986],"genre_scores_gemma":[0.9978091,0.0000721106,0.0002667765,0.00001098781,0.000003098799,0.000004378501,0.001341457,0.000002985067,0.0004890698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1159295,"threshold_uncertainty_score":0.2332245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313821396959399,"score_gpt":0.2184228026319905,"score_spread":0.1952845886623965,"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."}}