{"id":"W3094129551","doi":"","title":"Examining runoff generation across scale in a forested watershed in temperate, Eastern Canada","year":2003,"lang":"en","type":"article","venue":"EGS - AGU - EUG Joint Assembly","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Watershed; Surface runoff; Temperate climate; Scale (ratio); Environmental science; Hydrology (agriculture); Geography; Physical geography; Forestry; Cartography; Geology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006632934,0.0002226246,0.0002698317,0.00006304598,0.0001938023,0.00004613338,0.0001482009,0.00009402417,0.0001357571],"category_scores_gemma":[0.00004345959,0.0002021921,0.00002678694,0.0003026883,0.0000840835,0.0003150639,0.0001716021,0.0001898986,0.0001167546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000325307,"about_ca_system_score_gemma":0.00002705157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2396714,"about_ca_topic_score_gemma":0.9080589,"domain_scores_codex":[0.9980457,0.0001863005,0.0003945417,0.0004796883,0.0002580385,0.0006357565],"domain_scores_gemma":[0.9996016,0.00001974724,0.00007401645,0.0002251408,0.000006436505,0.00007307048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001558512,0.00006000578,0.9774148,0.000008970468,0.00001246247,0.00007093495,0.001941964,0.007110079,0.01072524,0.00001209445,0.002310119,0.0003177407],"study_design_scores_gemma":[0.001296907,0.00008319084,0.9787625,0.00002960831,0.000007868798,0.000006836065,0.0009725634,0.005112521,0.01011882,0.0000600952,0.00315095,0.0003981129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935586,0.00002605321,0.00007498681,0.0004977895,0.0002485476,0.0003089393,0.0000026429,0.00002583939,0.00525662],"genre_scores_gemma":[0.9974492,0.0000102338,0.000206004,0.000629468,0.00002803778,0.00006855468,0.0000196582,0.00001746567,0.001571409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6683875,"threshold_uncertainty_score":0.8245156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032696495277978,"score_gpt":0.234965877472261,"score_spread":0.2046389125194812,"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."}}