{"id":"W2169403664","doi":"10.5194/hess-13-1439-2009","title":"Interrelationships between MODIS/Terra remotely sensed snow cover and the hydrometeorology of the Quesnel River Basin, British Columbia, Canada","year":2009,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Goddard Space Flight Center; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada; University of Northern British Columbia","keywords":"Snow; Hydrometeorology; Environmental science; Moderate-resolution imaging spectroradiometer; Streamflow; Snowmelt; Climatology; Snow cover; Cloud cover; Spectroradiometer; Atmospheric sciences; Meteorology; Satellite; Precipitation; Drainage basin; Geology; Geography; Reflectivity; Cartography","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":[0.0007042176,0.00008678693,0.000292922,0.00001431767,0.001137151,0.00008513673,0.0002249885,0.00007396557,0.0001293575],"category_scores_gemma":[0.0001140519,0.00006374971,0.0000403862,0.000291477,0.001596668,0.0001079485,0.0000286724,0.0001351586,0.000003009753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003499132,"about_ca_system_score_gemma":0.0001123034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7991585,"about_ca_topic_score_gemma":0.9231819,"domain_scores_codex":[0.9986629,0.000336142,0.0002846631,0.0002604655,0.0002045448,0.0002512795],"domain_scores_gemma":[0.9988505,0.0007537635,0.0001596554,0.0001431486,0.00003455961,0.00005834926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001396259,0.000002274601,0.9941522,0.000008763228,0.00001943301,0.000003475458,0.0004201127,0.0006364897,5.073018e-7,0.0001185389,0.000868911,0.003755356],"study_design_scores_gemma":[0.0003509105,0.0001166577,0.9825652,0.00003104226,0.00003180703,0.00009321448,0.0004497991,0.0146416,6.444682e-7,0.0005463544,0.001097172,0.00007555823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934154,0.001122766,0.00003704258,0.002238201,0.000285267,0.000213419,0.00005814389,0.00001135262,0.002618411],"genre_scores_gemma":[0.9986789,0.00006063241,0.00007597184,0.0008031789,0.00004836726,7.414066e-7,0.000004713019,0.00000109192,0.0003263612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1240234,"threshold_uncertainty_score":0.8746161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560287092720155,"score_gpt":0.1842865892335875,"score_spread":0.168683718306386,"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."}}