{"id":"W2134559739","doi":"10.1002/hyp.9699","title":"A multi‐scale hydroclimatic analysis of runoff generation in the Athabasca River, western Canada","year":2012,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of New Brunswick; University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Surface runoff; Environmental science; Watershed; Precipitation; Hydrology (agriculture); Teleconnection; Water year; Climatology; Physical geography; Drainage basin; Geography; Geology; Ecology; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004221266,0.0001236412,0.0002423426,0.00005015772,0.0001209448,0.00000687102,0.000271607,0.00005429317,0.0002666689],"category_scores_gemma":[0.00008208424,0.00007366038,0.00004315676,0.0007379527,0.0002375321,0.0001750335,0.0001479921,0.00009240451,0.00002780529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004602989,"about_ca_system_score_gemma":0.000008489988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05829928,"about_ca_topic_score_gemma":0.5542736,"domain_scores_codex":[0.9988697,0.0001239593,0.0002397303,0.0002026276,0.0002480559,0.0003159353],"domain_scores_gemma":[0.9995859,0.0001113329,0.00009344886,0.0001642702,0.000006164578,0.00003891747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008815783,0.0002208116,0.9803725,0.00002230005,0.00007701258,0.000003942885,0.001846147,0.0168262,0.0001647479,0.000003864137,0.0003828765,0.00007081284],"study_design_scores_gemma":[0.0002192865,0.00005679347,0.967512,0.000003043769,0.0003492763,0.000001712379,0.000165273,0.02968242,0.0002499966,0.00004924708,0.001560143,0.0001508732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975099,0.0002013163,0.0004262447,0.0006163805,0.00003177455,0.0001647353,0.000004930287,0.00001132705,0.001033367],"genre_scores_gemma":[0.998482,0.0000557848,0.0002632294,0.001018409,0.00002046256,0.00005004006,0.00002050424,0.000003274924,0.00008630076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4959744,"threshold_uncertainty_score":0.9479716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600631520227008,"score_gpt":0.2398683508235633,"score_spread":0.2138620356212932,"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."}}