{"id":"W2166947037","doi":"10.14796/jwmm.r207-11","title":"An ArcView GIS tool for SWMM","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; GIS applications; Geographic information system; Database; Geography; Remote sensing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002340752,0.00007572164,0.0001685437,0.0002270555,0.0004227449,0.0001362505,0.0002522,0.00002931204,0.00003366228],"category_scores_gemma":[0.00001279502,0.00005264866,0.0001262483,0.0001063579,0.00002491456,0.0007928193,0.00003254043,0.00005652566,0.00001251082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004692196,"about_ca_system_score_gemma":0.000009140148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005828,"about_ca_topic_score_gemma":0.00003715658,"domain_scores_codex":[0.9986572,0.00004524561,0.0005357656,0.00007074232,0.0004212453,0.0002698246],"domain_scores_gemma":[0.9993318,0.00001279971,0.0001613683,0.0001022813,0.0003365611,0.00005515727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000650224,0.0005738521,0.0121499,0.001172657,0.002273175,0.0001447238,0.315177,0.4021472,0.0002607308,0.1062829,0.007858894,0.1513087],"study_design_scores_gemma":[0.002812155,0.0003750668,0.0004613186,0.000508951,0.0004112409,0.00003040537,0.1009892,0.09457199,0.00005837974,0.05108201,0.7479742,0.0007250658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4993477,0.0002420941,0.4662764,0.003974456,0.001028268,0.0007364946,0.000001334071,0.00005068481,0.02834253],"genre_scores_gemma":[0.9930819,0.0005823671,0.004851157,0.0002265962,0.0003424766,0.00001213543,0.000001218677,0.000006535898,0.0008955602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7401153,"threshold_uncertainty_score":0.3251454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04783881827048004,"score_gpt":0.3179511830402852,"score_spread":0.2701123647698052,"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."}}