{"id":"W4388291967","doi":"10.1175/jhm-d-23-0051.1","title":"Temporal Assessment of GCM-Driven Hydroclimatic Conditions for the Alberta Oil Sands Region, Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas; University of Calgary","funders":"Alberta Environment and Parks","keywords":"Environmental science; Coupled model intercomparison project; Precipitation; Evapotranspiration; Climate change; Climatology; Water resources; Snow; Downscaling; Climate model; Global warming; Geography; Meteorology; Geology; 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":[0.000679319,0.0001008727,0.0003109382,0.00007269128,0.0001490336,0.000007865876,0.0003457453,0.00006189539,0.0005019284],"category_scores_gemma":[0.0001950329,0.00006862349,0.0001337676,0.0002841925,0.0002056985,0.0001100239,0.0001000856,0.0001583182,0.00000619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000172176,"about_ca_system_score_gemma":0.0001711138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05319022,"about_ca_topic_score_gemma":0.2103837,"domain_scores_codex":[0.9986742,0.00009949824,0.0005668966,0.0001283606,0.0002754903,0.0002555464],"domain_scores_gemma":[0.9979519,0.001242765,0.000460184,0.0002312094,0.00002942241,0.00008449836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002147832,0.0005844221,0.3185191,0.0002594298,0.0007626586,0.0001423377,0.001552539,0.4960907,0.02319729,0.003959246,0.153264,0.001453468],"study_design_scores_gemma":[0.004196491,0.002376422,0.1941275,0.0001021405,0.0007344591,0.001073909,0.0008857029,0.6929852,0.0004008252,0.02300926,0.07952774,0.0005802909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899604,0.00001465859,0.0003942737,0.007590039,0.0003877683,0.0001089775,0.00002678707,0.000005127964,0.001511998],"genre_scores_gemma":[0.9985593,0.0000682478,0.0004277428,0.0003401188,0.00003787965,0.00001788969,0.00001217183,0.00000986078,0.0005267712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1968945,"threshold_uncertainty_score":0.9531147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224161885061252,"score_gpt":0.2802306171228022,"score_spread":0.2579889982721897,"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."}}