{"id":"W1964248494","doi":"10.5194/hess-16-1171-2012","title":"Multimodel evaluation of twenty lumped hydrological models under contrasted climate conditions","year":2011,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Robustness (evolution); Computer science; Climate change; Ensemble forecasting; Climate model; Environmental science; Context (archaeology); Machine learning; Ecology; Geography","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":[0.002169431,0.0001386986,0.0002570459,0.00007206903,0.0005330336,0.000007826698,0.0001872352,0.0001207966,0.0005938175],"category_scores_gemma":[0.00001505287,0.0001034772,0.00004155319,0.0001664954,0.001828174,0.0003044602,0.0001815624,0.00007936405,0.00009063842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000013823,"about_ca_system_score_gemma":0.000009173391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002101091,"about_ca_topic_score_gemma":0.0001439773,"domain_scores_codex":[0.9982128,0.0003739118,0.0003026806,0.0004208229,0.0003155602,0.0003741805],"domain_scores_gemma":[0.9995885,0.00006841934,0.0001139314,0.0001444108,0.00001990726,0.00006487087],"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":[0.0003284389,0.000545847,0.3276731,0.0001103123,0.0002959924,0.00002212687,0.006413904,0.5764177,0.003458415,0.0824953,0.0002436949,0.001995213],"study_design_scores_gemma":[0.0007338139,0.0002663104,0.08406947,0.00001237622,0.0001285814,0.00002026876,0.0007022217,0.9049422,0.000207232,0.008766363,0.00001064296,0.0001405383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406139,0.00008087246,0.000878771,0.000130424,0.0001481201,0.0003377102,0.000008468972,0.00004640185,0.05775531],"genre_scores_gemma":[0.9994103,0.00003159676,0.0002894164,0.0001784658,0.000008248296,0.00004706905,0.000003943018,0.000003249018,0.00002774817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3285245,"threshold_uncertainty_score":0.6735985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08367416478730336,"score_gpt":0.2706192220786198,"score_spread":0.1869450572913164,"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."}}