{"id":"W2975248742","doi":"10.3390/w11102012","title":"Exploring an Alternative Configuration of the Hydroclimatic Modeling Chain, Based on the Notion of Asynchronous Objective Functions","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval","funders":"","keywords":"Pluvial; Environmental science; Climate model; Climatology; Forcing (mathematics); Calibration; Meteorology; Climate change; Computer science; Mathematics; Statistics; Geography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002165718,0.00006522744,0.00007694104,0.00002097315,0.0001222967,0.000004139724,0.0001084088,0.00001573009,0.0002758751],"category_scores_gemma":[0.000008258678,0.00003030162,0.00003467006,0.00004614471,0.0001030448,0.0001805885,0.00006061362,0.00005954671,0.0001350051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003718156,"about_ca_system_score_gemma":0.00000137617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000124334,"about_ca_topic_score_gemma":0.00002262882,"domain_scores_codex":[0.999431,0.00008493235,0.0001181946,0.00012467,0.0001381258,0.0001031257],"domain_scores_gemma":[0.999711,0.00002906417,0.00004854716,0.0001949885,0.000008356411,0.000008060058],"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":[0.00002981548,0.00005449588,0.004530293,0.000009233909,0.00002184863,1.144113e-7,0.004379467,0.9755983,0.01502743,0.0001857933,0.000006699615,0.000156537],"study_design_scores_gemma":[0.0002601611,0.0002007747,0.008171817,0.00002720921,0.00002995504,1.506824e-7,0.001117218,0.8687114,0.1204974,0.000882831,0.00002331312,0.00007775542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838905,6.244306e-7,0.007719083,0.000737426,0.0001464899,0.0002904575,0.000001463329,0.000007673113,0.007206304],"genre_scores_gemma":[0.999621,0.000001501558,0.00001573526,0.0001857533,0.0000107276,0.00003892125,0.000003377824,0.000004449032,0.0001184907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068869,"threshold_uncertainty_score":0.3020639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381344020764955,"score_gpt":0.2128502189977522,"score_spread":0.1747158169212567,"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."}}