{"id":"W2950829629","doi":"","title":"An evaluation of winter hydroclimatic variables conducive to snowmelt and the generation of extreme hydrologic events in western Canada","year":2018,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowmelt; Climatology; Environmental science; Meteorology; Hydrology (agriculture); Physical geography; Geography; Snow; Geology","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":[0.0003898279,0.0002840509,0.0002055375,0.001434557,0.001029844,0.0008309741,0.0004023007,0.0001246946,0.0006482296],"category_scores_gemma":[0.0009360678,0.0001634081,0.0002655592,0.003166405,0.000295475,0.0002021054,0.0004568423,0.0001584459,0.00007180485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008108133,"about_ca_system_score_gemma":0.01275576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852685,"about_ca_topic_score_gemma":0.9944656,"domain_scores_codex":[0.9997508,0.00001534709,0.00001964522,0.00004332226,0.0001009082,0.0000699463],"domain_scores_gemma":[0.9991709,0.00005693798,0.0001152767,0.00002210292,0.0004685992,0.0001662464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005772202,0.00002546979,0.9889085,0.00003256219,0.00005541266,0.00009033072,0.0004589834,0.0004712637,0.0007987311,0.00005650913,0.0003480708,0.008696453],"study_design_scores_gemma":[0.000001858453,0.000009810815,0.9983546,0.000007403008,0.00001464383,0.00001843843,0.0005709363,0.0005152733,0.0001164424,0.000007868707,0.0003786933,0.000003982658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961284,0.0001717016,0.0001034061,0.00002761757,0.000001278836,0.00002159701,0.002703852,0.000007043799,0.0008349608],"genre_scores_gemma":[0.9961388,0.0002885745,0.0003870479,0.00001625294,0.000001666687,0.00001622712,0.002682761,0.000002868467,0.000465798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01473147,"threshold_uncertainty_score":0.05882895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06670224134118102,"score_gpt":0.2805538748956322,"score_spread":0.2138516335544511,"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."}}