{"id":"W2048774798","doi":"10.1016/j.ecolmodel.2011.11.023","title":"Simulations of runoff and evapotranspiration in Chinese fir plantation ecosystems using artificial neural networks","year":2011,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Evapotranspiration; Surface runoff; Environmental science; Hydrology (agriculture); Ecosystem; Forest ecology; Ecology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002630778,0.0001054194,0.0001672935,0.00003551323,0.0001013533,0.00001149511,0.00007192553,0.0001292148,0.0002942628],"category_scores_gemma":[0.00003255509,0.00008386256,0.00002826058,0.0001993139,0.00008773489,0.0001524104,0.00003852012,0.0001347189,0.000003739126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004897079,"about_ca_system_score_gemma":0.000002480082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003315838,"about_ca_topic_score_gemma":0.0004479416,"domain_scores_codex":[0.9990076,0.00009381957,0.0003560307,0.0002379563,0.0001066312,0.0001979856],"domain_scores_gemma":[0.999644,0.0001251884,0.0001022892,0.00007362039,0.000006763989,0.00004814815],"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":[0.00003104547,0.00007726975,0.06532521,0.000003552785,0.000001442212,0.000003632835,0.0002027875,0.9327328,0.00116804,0.00007051446,1.278274e-7,0.0003836372],"study_design_scores_gemma":[0.0001154278,0.00009856879,0.02366636,0.000008577017,0.00000681014,0.00000318097,0.000003455758,0.9713189,0.00005166634,0.004635778,7.173679e-7,0.00009058142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995529,0.00001134983,0.09996496,0.00001010705,0.00007161046,0.0001693414,0.000002847885,0.00002446549,0.0001924333],"genre_scores_gemma":[0.9952182,0.000002438432,0.004703363,0.00002818801,0.00002926555,0.00000356181,0.000007515923,0.000006275921,0.000001167535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09566534,"threshold_uncertainty_score":0.3419816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09067187323571424,"score_gpt":0.2599964636773821,"score_spread":0.1693245904416679,"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."}}