{"id":"W3023342704","doi":"","title":"Evaluation and Inter-Comparison of NARCCAP's Multiple RCM based Hydro-Climate Scenarios in the Lake Winnipeg Watershed","year":2010,"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":"Watershed; Environmental science; Hydrology (agriculture); Geology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005220881,0.0008710137,0.000725523,0.0008209234,0.001029835,0.001706559,0.001342417,0.0007696347,0.0009326937],"category_scores_gemma":[0.005708551,0.0004075533,0.0005966474,0.001254866,0.0005222437,0.0007206856,0.0008610435,0.0004740832,0.0001751448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008893969,"about_ca_system_score_gemma":0.004509178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6414586,"about_ca_topic_score_gemma":0.6393447,"domain_scores_codex":[0.9984769,0.0006964321,0.00006724311,0.0002150923,0.0003950821,0.0001492495],"domain_scores_gemma":[0.9978088,0.0006852353,0.0001324534,0.0001405667,0.001037926,0.0001949901],"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":[0.003956783,0.0008088099,0.1056743,0.0002594157,0.001019252,0.000458044,0.0004514224,0.8287544,0.007605428,0.002811006,0.003599529,0.04460165],"study_design_scores_gemma":[0.001209047,0.0007068293,0.1715085,0.00004769067,0.0004814781,0.00007253894,0.0007559088,0.8124892,0.007053833,0.0005901558,0.004993546,0.0000912556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904355,0.0001718808,0.001195498,0.0003097589,0.00003112581,0.00017385,0.002004111,0.0001570826,0.005521274],"genre_scores_gemma":[0.993418,0.00007885857,0.003958485,0.0000599528,0.000006163293,0.00007347503,0.001513287,0.00004423792,0.0008475654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3585414,"threshold_uncertainty_score":0.7213058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013287826613389,"score_gpt":0.2666378141875713,"score_spread":0.2465049359214374,"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."}}