{"id":"W4247826560","doi":"10.9734/bjecc/2012/2249","title":"Comparing and Modifying Eight Empirical Models of Snowmelt Using Data from Harp Experimental Station in Central Ontario","year":2012,"lang":"en","type":"article","venue":"British Journal of Environment and Climate Change","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"Ministry of Environment","keywords":"Snowmelt; HARP; Environmental science; Hydrology (agriculture); Engineering; Snow; Meteorology; Geography; Geotechnical engineering","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":[0.005586803,0.0007017556,0.0005027333,0.000800201,0.0009453771,0.001115453,0.002776934,0.0008130939,0.001080291],"category_scores_gemma":[0.02488852,0.000476068,0.001459901,0.0008225607,0.0008221208,0.001036254,0.0006662047,0.0007922937,0.0001695803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01853713,"about_ca_system_score_gemma":0.004621057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6486821,"about_ca_topic_score_gemma":0.6759331,"domain_scores_codex":[0.9974137,0.001273334,0.0001961129,0.0005420449,0.0002813628,0.0002935887],"domain_scores_gemma":[0.9742212,0.01961073,0.001721956,0.001395904,0.00263392,0.0004162372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00213669,0.0009094447,0.6417162,0.0002481353,0.001088337,0.0002329613,0.002193606,0.3183265,0.002638895,0.00118856,0.001313312,0.02800732],"study_design_scores_gemma":[0.0005957758,0.001105379,0.6540415,0.00005490426,0.0006429292,0.0000940762,0.002054898,0.3365075,0.001771095,0.0007998582,0.002199855,0.0001322233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983453,0.00003513231,0.0008339302,0.00007268054,0.000005989732,0.00003565832,0.0002256606,0.00002128135,0.0004245409],"genre_scores_gemma":[0.9972632,0.00004920251,0.001455732,0.00002455354,0.000005169986,0.00004975231,0.000915862,0.00001512854,0.0002214754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3513179,"threshold_uncertainty_score":0.7067738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1581812699703692,"score_gpt":0.290519336362642,"score_spread":0.1323380663922728,"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."}}