{"id":"W3109936110","doi":"","title":"Impacts of changes to snow accumulation and melt regimes on the streamflow of regulated and unregulated rivers in the upper North Saskatchewan and Athabasca river basins","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Streamflow; Snow; Hydrology (agriculture); Environmental science; Snowmelt; Geology; Drainage basin; Physical geography; Water resource management; Geography; Geomorphology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004855422,0.0001274485,0.0001611204,0.00005459453,0.00008906049,0.00001185205,0.0001068832,0.00005472604,0.000005325068],"category_scores_gemma":[0.00008768751,0.00007747939,0.0000149987,0.0001423516,0.0002452283,0.00009312048,0.0001352049,0.00008446621,0.000005344597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001564591,"about_ca_system_score_gemma":0.000002912419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01027419,"about_ca_topic_score_gemma":0.03416395,"domain_scores_codex":[0.9991733,0.00008984737,0.0001588774,0.0002289765,0.0001668183,0.0001822258],"domain_scores_gemma":[0.999319,0.0003266109,0.0001299282,0.0001802668,0.000008364824,0.00003585467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006927422,0.0000328836,0.9777314,0.00002333761,0.00003250538,0.000002619513,0.01434365,0.005229104,0.0009382975,0.00001321964,0.0001527764,0.001430935],"study_design_scores_gemma":[0.0003015128,0.000149687,0.9955679,0.00009857825,0.00002537885,0.000001309736,0.00150122,0.0003830077,0.001707275,0.00009193319,0.00008854329,0.00008365067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960794,0.00003110386,2.832998e-7,0.002386203,0.00001919988,0.0003741475,0.000006054869,0.000008553615,0.001095091],"genre_scores_gemma":[0.9995113,0.00006176912,0.00008073702,0.0002638197,0.000005326497,0.000003435739,0.000004116141,0.000006278264,0.00006321727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02388977,"threshold_uncertainty_score":0.9963165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314055434960446,"score_gpt":0.22482862449142,"score_spread":0.2116880701418155,"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."}}