{"id":"W4409859012","doi":"10.1002/hyp.70135","title":"Snow Interception Relationships With Meteorology and Canopy Density","year":2025,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Global Water Futures; Alberta Innovates; Canada First Research Excellence Fund; Canada Research Chairs; Environment and Climate Change Canada; Canada Foundation for Innovation; University of Saskatchewan","keywords":"Snow; Interception; Environmental science; Meteorology; Canopy; Atmospheric sciences; Climatology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001196259,0.00007950061,0.0001212571,0.00002097866,0.0003188589,0.00002426736,0.00006399042,0.00006410077,0.0003089134],"category_scores_gemma":[0.0003903573,0.00004979857,0.00001016179,0.00031272,0.0001792303,0.00008418629,0.00001508497,0.0001284661,0.00001686652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002466176,"about_ca_system_score_gemma":0.00003184664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003162022,"about_ca_topic_score_gemma":0.01390185,"domain_scores_codex":[0.9994522,0.00004450155,0.0001030762,0.0002012893,0.00006012562,0.000138845],"domain_scores_gemma":[0.9993756,0.0004293929,0.00003250686,0.00006594297,0.00005978917,0.00003676499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006091398,0.000009445098,0.9951329,0.00002114057,0.0000148413,0.000002937977,0.00007449899,0.0005082035,0.000003744855,0.0003392713,0.0002753135,0.003556839],"study_design_scores_gemma":[0.0001263287,0.0001466454,0.9892114,0.0000106668,0.00002421412,0.000006925743,0.0001854855,0.001441218,0.00001319489,0.005260957,0.003506511,0.00006644345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900308,0.0009953927,0.002496495,0.002129852,0.00004830412,0.00009512488,0.000004889778,0.00005354109,0.004145659],"genre_scores_gemma":[0.9977989,0.0002093196,0.0009477067,0.0007927576,0.00001960335,0.000003261789,0.00002202082,8.270786e-7,0.0002056204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01358564,"threshold_uncertainty_score":0.7757556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03007264940030545,"score_gpt":0.225990280129615,"score_spread":0.1959176307293096,"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."}}