{"id":"W3183470465","doi":"10.14796/jwmm.c475","title":"Urban Tree Rainfall Interception Measurement and Modeling in WinSLAMM, the Source Loading and Management Model","year":2021,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interception; Environmental science; Tree (set theory); Hydrology (agriculture); Geology; Mathematics; Geotechnical engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000315578,0.0002827368,0.0002146762,0.0003089236,0.0002619722,0.0005413293,0.0005973942,0.0003094365,0.001552174],"category_scores_gemma":[0.000459147,0.0002347483,0.0003080225,0.0004909213,0.0001748873,0.0005155892,0.0003648067,0.0002654461,0.0002626863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008741915,"about_ca_system_score_gemma":0.0008351702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04478297,"about_ca_topic_score_gemma":0.04884421,"domain_scores_codex":[0.9999032,0.00002273224,0.000006821435,0.00002395162,0.00002491672,0.00001844174],"domain_scores_gemma":[0.9998624,0.00004799094,0.00002231067,0.00001429076,0.00004225809,0.00001063864],"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":[0.00002188525,0.00003114088,0.004981973,0.00001442498,0.00001027691,0.00003499441,0.00003012365,0.9825065,0.0009172182,0.00242516,0.0004822362,0.008544103],"study_design_scores_gemma":[0.000002357943,0.000005673818,0.0008724177,0.000001428311,0.000002368693,0.000004864584,0.000009009038,0.9980666,0.000274375,0.0002707864,0.0004871901,0.000002962677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.742865,0.000223928,0.234707,0.0002641324,0.00002853995,0.0001600013,0.002361123,0.001289282,0.01810099],"genre_scores_gemma":[0.9443884,0.000192395,0.04614164,0.00002984131,0.00000899871,0.0001470709,0.001426326,0.0001111195,0.007554274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04478297,"threshold_uncertainty_score":0.08904463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04836920439842873,"score_gpt":0.2097243525756697,"score_spread":0.1613551481772409,"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."}}