{"id":"W6977421447","doi":"10.6084/m9.figshare.26496217.v2","title":"Estimation of the time of concentration of small watersheds located in Northeastern North America","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Hydrology (agriculture); Estimation; Wetland; Regression; Watershed; Streamflow","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001861269,0.000122978,0.000113364,0.001227732,0.0004072078,0.0004205319,0.0002444453,0.0001363541,0.0009680013],"category_scores_gemma":[0.00115697,0.00006037649,0.0001035761,0.001532794,0.0002026288,0.0002585758,0.0001744841,0.0001275824,0.0001228053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472375,"about_ca_system_score_gemma":0.001467437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7620443,"about_ca_topic_score_gemma":0.8881811,"domain_scores_codex":[0.999918,0.00001240079,0.000006499454,0.00002333968,0.00002368621,0.00001593684],"domain_scores_gemma":[0.9991309,0.0002239882,0.0002019066,0.00002123162,0.000350616,0.00007140628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002897832,0.00002123442,0.9825124,0.00001948491,0.00002158377,0.00009132483,0.0003620585,0.002151458,0.001373794,0.0001456552,0.0006143452,0.01265775],"study_design_scores_gemma":[0.000001354691,0.000006613708,0.9929211,0.000003376167,0.000004957054,0.00001839839,0.0004108897,0.005734178,0.0002289924,0.00003190523,0.0006352714,0.000003122111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954293,0.00005360021,0.0009874452,0.00004548245,0.000001219989,0.00002312102,0.002102299,0.00004137754,0.001316157],"genre_scores_gemma":[0.9955923,0.00006830419,0.00172097,0.000005936055,0.000002417673,0.00001987777,0.001800012,0.000005530743,0.0007846517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7620443,"threshold_uncertainty_score":0.4787142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293389674788589,"score_gpt":0.2047602951272326,"score_spread":0.1918263983793467,"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."}}