{"id":"W4382996706","doi":"10.2139/ssrn.4498381","title":"The Effect of Snow-Climate Change on Water Resources","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Climate change; Snow; Water resources; Environmental science; Natural resource economics; Environmental resource management; Climatology; Physical geography; Geography; Meteorology; Economics; Geology; Ecology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004108333,0.0001470561,0.0002057954,0.0003413401,0.0002612964,0.0008967808,0.0002359983,0.000630925,0.006652069],"category_scores_gemma":[0.001652352,0.0001195774,0.0003862465,0.001051477,0.0004305536,0.0008254628,0.0004219126,0.0003471484,0.0004501005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103242,"about_ca_system_score_gemma":0.0006075617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02758233,"about_ca_topic_score_gemma":0.03194875,"domain_scores_codex":[0.9998517,0.00004532774,0.000009468782,0.00002991304,0.00002297148,0.000040648],"domain_scores_gemma":[0.9990788,0.0004609326,0.0001981361,0.00004238065,0.00009392932,0.0001258081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001964357,0.0003323253,0.8928044,0.0003199902,0.0007623996,0.0007465067,0.0004455698,0.04049899,0.01223103,0.01247893,0.006511206,0.03090435],"study_design_scores_gemma":[0.000033991,0.000112474,0.9816844,0.00001036111,0.0001018847,0.00006064326,0.0003213708,0.008424254,0.001559331,0.003879952,0.003800291,0.0000110182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851099,0.0006140465,0.0004569228,0.002465768,0.00005785801,0.000007124538,0.002606272,0.00001912221,0.008663003],"genre_scores_gemma":[0.9982221,0.000350264,0.00006484604,0.00008682575,0.00002876672,0.000002122921,0.0003603857,0.000008095671,0.0008765971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02758233,"threshold_uncertainty_score":0.0548436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150035414421167,"score_gpt":0.2344699014633991,"score_spread":0.2129695473191874,"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."}}