{"id":"W4392758285","doi":"10.5194/egusphere-egu24-13885","title":"A web-based watershed delineation tool and its application to delineate 24,000 watersheds across Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Watershed; Web application; Environmental science; Computer science; Hydrology (agriculture); Geography; Environmental resource management; World Wide Web; Geology; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004504558,0.0004040812,0.0003023418,0.00247387,0.001590425,0.001065277,0.0006280868,0.0004498097,0.01566869],"category_scores_gemma":[0.00173965,0.0002391062,0.0003777598,0.00372454,0.0003330755,0.0005622336,0.0009507468,0.0002750066,0.001895621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003593797,"about_ca_system_score_gemma":0.008423091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8328848,"about_ca_topic_score_gemma":0.8929411,"domain_scores_codex":[0.999723,0.00001698655,0.00001245415,0.00004423291,0.0001566393,0.00004666698],"domain_scores_gemma":[0.9992909,0.0001961112,0.00002543106,0.00004941359,0.0003635088,0.00007473415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004954562,0.0002292866,0.04474704,0.000670078,0.00007636612,0.0011328,0.004090087,0.02384693,0.01849529,0.004888428,0.09588563,0.8054425],"study_design_scores_gemma":[0.0003359212,0.0001984814,0.2647215,0.0006113121,0.0001436367,0.001334567,0.006246055,0.3280789,0.04676397,0.003563277,0.3477113,0.0002910543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4179604,0.0007590812,0.2995965,0.001125299,0.00008401272,0.002573386,0.08660963,0.09431199,0.09697969],"genre_scores_gemma":[0.3788329,0.0005607035,0.5560365,0.0001281042,0.00001360538,0.0006705061,0.03525551,0.002745897,0.02575628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1671152,"threshold_uncertainty_score":0.3361986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576262907197491,"score_gpt":0.2927674603654852,"score_spread":0.2770048312935103,"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."}}