{"id":"W2094896410","doi":"10.3390/hydrology1010001","title":"Net Snowpack Accumulation and Ablation Characteristics in the Inland Temperate Rainforest of the Upper Fraser River Basin, Canada","year":2014,"lang":"en","type":"article","venue":"Hydrology","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Ministry of Forests, Lands and Natural Resource Operations; Oregon State University; University of Alberta; University of Northern British Columbia","keywords":"Snowpack; Snow; Environmental science; Structural basin; Drainage basin; Snowmelt; Physical geography; Elevation (ballistics); Mesoscale meteorology; Hydrology (agriculture); Climatology; Temperate climate; Atmospheric sciences; Geology; Geography; Geomorphology; Ecology","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":[0.0001793371,0.00005044691,0.0000887277,0.000008238999,0.0001121116,0.000008971203,0.00007678309,0.00003250601,0.0001092114],"category_scores_gemma":[0.00008554971,0.00002786542,0.00001025576,0.0001016015,0.00007686492,0.00004165737,0.000008773425,0.00006126313,0.000002204093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002484492,"about_ca_system_score_gemma":0.0000326471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2590191,"about_ca_topic_score_gemma":0.6532839,"domain_scores_codex":[0.9995338,0.00008248393,0.0001333341,0.0000726521,0.00007839193,0.00009929689],"domain_scores_gemma":[0.9995689,0.0002340881,0.00006465935,0.00009960814,0.00001939409,0.00001337076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007730521,0.000001781478,0.9943799,0.000002725227,0.000003151319,2.231464e-7,0.0003001203,0.003111239,0.00000113518,0.00007369357,0.0007754987,0.00134285],"study_design_scores_gemma":[0.0001359198,0.00001948984,0.9193751,0.000002102404,0.000005289966,0.000001020614,0.00005144172,0.05193027,0.000001036537,0.0001742059,0.02827258,0.00003154042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975866,0.00003574787,0.00002156342,0.001631118,0.0001511844,0.0000904705,0.00002398685,0.000001738515,0.0004575674],"genre_scores_gemma":[0.9979772,0.00002401188,0.00002392908,0.001849729,0.00005179795,8.03593e-7,0.00004146488,9.636105e-7,0.0000300804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3942648,"threshold_uncertainty_score":0.7459152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399281388372982,"score_gpt":0.2028288453203433,"score_spread":0.1888360314366135,"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."}}