{"id":"W2054418562","doi":"10.1016/j.jhydrol.2005.10.025","title":"Hydrologic response to scenarios of climate change in sub watersheds of the Okanagan basin, British Columbia","year":2005,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":189,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Agriculture and Agri-Food Canada; Impact; University of British Columbia","funders":"","keywords":"HadCM3; Environmental science; Precipitation; Climate change; Snowmelt; Structural basin; Climate model; Drainage basin; Hydrology (agriculture); Climatology; Watershed; Snow; Streamflow; Geography; Geology; General Circulation Model; GCM transcription factors; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003647894,0.0003869359,0.0004637356,0.0005349159,0.00120076,0.001755946,0.001170628,0.001064224,0.002213878],"category_scores_gemma":[0.00154949,0.0003534098,0.0003967809,0.001225696,0.0008005217,0.0005893976,0.0007458922,0.0007695822,0.0001824073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01419409,"about_ca_system_score_gemma":0.006280363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9276482,"about_ca_topic_score_gemma":0.9480436,"domain_scores_codex":[0.9997415,0.00007609505,0.00001805163,0.0000362036,0.00003440658,0.00009371944],"domain_scores_gemma":[0.9993184,0.000171759,0.00005286324,0.00003164092,0.0002443211,0.0001809758],"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":[0.002017624,0.0005656072,0.3301634,0.0001352125,0.0005181204,0.001856985,0.0005507029,0.6363987,0.005086849,0.002847641,0.01009314,0.009765997],"study_design_scores_gemma":[0.0003317777,0.0001516481,0.498981,0.00003396908,0.0002463234,0.0001186759,0.003566541,0.4905252,0.0016323,0.00162567,0.002691874,0.00009502302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969293,0.00004281038,0.0000506229,0.0003788807,0.000007746116,0.00001127429,0.0009654122,0.000017271,0.001596812],"genre_scores_gemma":[0.9987752,0.00005959006,0.00006412859,0.00003723656,0.000001759047,0.00000770168,0.000466747,0.000004069159,0.0005835278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07235175,"threshold_uncertainty_score":0.1455556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008955371861167355,"score_gpt":0.2186157847532383,"score_spread":0.209660412892071,"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."}}