{"id":"W2382178584","doi":"","title":"Improvement and Application of Runoff Simulation in the Land Surface Model CLASS","year":2007,"lang":"en","type":"article","venue":"Climatic and Environmental Research","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interflow; Surface runoff; Hydrograph; Environmental science; Runoff model; Streamflow; Hydrology (agriculture); Runoff curve number; Drainage basin; Structural basin; Geology; Geography; Geotechnical engineering; Geomorphology","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":[0.001689358,0.00008168938,0.00008446721,0.0000188441,0.0001666404,0.00001972305,0.0001596306,0.00004125694,0.00006787539],"category_scores_gemma":[0.00001216055,0.00004765587,0.00001288556,0.0001631407,0.000637857,0.0001543911,0.0003208911,0.00012764,0.00002170612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009408543,"about_ca_system_score_gemma":0.000001301334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001807614,"about_ca_topic_score_gemma":0.00009470021,"domain_scores_codex":[0.9986596,0.00004847401,0.0002022171,0.0002301935,0.0005943166,0.0002652052],"domain_scores_gemma":[0.9995423,0.0002286167,0.00004416842,0.0001185652,0.000001027136,0.00006530459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003538294,0.0002990224,0.6322652,0.00002753982,0.000003291323,0.000002012046,0.001931201,0.06194989,0.1971125,0.00009213091,0.00003209538,0.1062498],"study_design_scores_gemma":[0.0002228937,0.0001276657,0.7070782,0.000007533177,0.000003539174,0.000002172956,0.002367467,0.2871603,0.001347229,0.001484159,0.0001115136,0.00008726276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966908,0.00007415866,0.0005918166,0.0002124654,0.000004553606,0.0003773801,0.000004739575,0.000002619302,0.002041504],"genre_scores_gemma":[0.9992906,0.0001790622,0.0003636351,0.00005672139,0.000006522544,0.000009768015,0.000008254491,0.000003200756,0.00008226202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2252104,"threshold_uncertainty_score":0.2350211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0273338110574477,"score_gpt":0.3071199304808632,"score_spread":0.2797861194234155,"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."}}