{"id":"W2307707113","doi":"10.14796/jwmm.r207-25","title":"Validating the Rain-Runoff Kernel Function in RUNOFF against Laboratory Experiment - including super-critical laminar flows","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Surface runoff; Kernel (algebra); Laminar flow; Environmental science; Runoff curve number; Hydrology (agriculture); Function (biology); Runoff model; Computer science; Geology; Mathematics; Engineering; Geotechnical engineering; Ecology; Biology; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001372865,0.0003227502,0.0003666263,0.0003110043,0.0003128767,0.0003730424,0.000646446,0.0003999873,0.0007393911],"category_scores_gemma":[0.003502843,0.0001214357,0.0002194814,0.0003807353,0.0004152554,0.0005037714,0.0004410793,0.0004021405,0.0001854102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006772685,"about_ca_system_score_gemma":0.0007395969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00379109,"about_ca_topic_score_gemma":0.003086652,"domain_scores_codex":[0.99961,0.00008014758,0.00003230766,0.00006911613,0.0001517389,0.00005673021],"domain_scores_gemma":[0.9986079,0.0005962729,0.0001169175,0.0002446485,0.000388328,0.00004591429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007749045,0.001112919,0.02291195,0.000218938,0.00004365357,0.0001687697,0.0002458661,0.5726013,0.3483911,0.002574333,0.0007632415,0.050193],"study_design_scores_gemma":[0.0000632554,0.0004742518,0.009678791,0.00001337003,0.00001277708,0.00003894682,0.0000563113,0.6604778,0.3281913,0.0003848542,0.0005840806,0.00002421859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9463412,0.00003249227,0.05221189,0.00003862397,0.0000112231,0.0000593545,0.0001180081,0.0005891559,0.0005981327],"genre_scores_gemma":[0.9889548,0.0000226899,0.01064539,0.000005955117,0.0000016507,0.00004146277,0.00009722379,0.00002726016,0.0002035953],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00379109,"threshold_uncertainty_score":0.00753808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861359035462998,"score_gpt":0.2433422773569739,"score_spread":0.2247286870023439,"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."}}