{"id":"W3026467153","doi":"","title":"An improved implementation of the VIC (Variable Infiltration Capacity) model for Canadian basins","year":2018,"lang":"en","type":"article","venue":"EGUGA","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Infiltration (HVAC); Variable (mathematics); Environmental science; Hydrology (agriculture); Geology; Geography; Meteorology; Mathematics; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008089187,0.0006192736,0.0005645709,0.0003654858,0.0008352192,0.001073292,0.00251671,0.0005976244,0.005095956],"category_scores_gemma":[0.002238261,0.000390024,0.0004799636,0.0007193856,0.0002884686,0.0008981716,0.0004669847,0.000837433,0.0005140405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005538412,"about_ca_system_score_gemma":0.01215723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8675238,"about_ca_topic_score_gemma":0.8702534,"domain_scores_codex":[0.9996535,0.00005968451,0.00001872344,0.00006319735,0.0001151725,0.00008988085],"domain_scores_gemma":[0.9991585,0.0001109715,0.00003013917,0.00009578464,0.0005210254,0.00008362775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001047121,0.000105194,0.008966791,0.00003768173,0.00003561087,0.00006261125,0.00007351933,0.9518921,0.002050374,0.003720857,0.009146411,0.02380425],"study_design_scores_gemma":[0.00003411974,0.00001272768,0.001426441,0.000005578794,0.00001377327,0.000006966918,0.00002363989,0.9939005,0.0008403383,0.0003116506,0.003404596,0.00001956807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7251933,0.0003917414,0.1838832,0.00197158,0.0005116722,0.0003544886,0.01675404,0.02449084,0.04644906],"genre_scores_gemma":[0.9182808,0.0001392227,0.0699186,0.0001464872,0.00001868317,0.00007976806,0.004097535,0.001044118,0.006274768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1324762,"threshold_uncertainty_score":0.2665128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588269323527224,"score_gpt":0.2431831481398924,"score_spread":0.2273004549046202,"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."}}