{"id":"W4312125474","doi":"10.3390/land11122256","title":"Evaluating Water and Carbon Retention in a Low-Order, Designed River Corridor","year":2022,"lang":"en","type":"article","venue":"Land","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Mitacs; Canada Foundation for Innovation","keywords":"Environmental science; Tributary; Hydrology (agriculture); Surface runoff; STREAMS; Water resource management; Geography; Ecology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003006761,0.00004471849,0.00005576507,0.0000155919,0.00009533265,0.000003654748,0.00004521561,0.00001969414,0.001660718],"category_scores_gemma":[0.000004569193,0.00003504507,0.000006741375,0.00006234609,0.00004600365,0.00004803518,0.00004653462,0.00007369725,0.000008891319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002262497,"about_ca_system_score_gemma":0.000003197079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007327428,"about_ca_topic_score_gemma":0.0004617425,"domain_scores_codex":[0.999481,0.00005262799,0.0000771451,0.0001482577,0.0001185059,0.0001224819],"domain_scores_gemma":[0.9999072,0.00001181173,0.00001300114,0.00004815338,0.000001352971,0.00001848384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006884256,0.00003329683,0.9755158,0.000008431054,0.000002438853,0.00001955405,0.001577235,0.006877979,0.01487829,0.000001114955,0.0000052938,0.001011706],"study_design_scores_gemma":[0.003378198,0.0006361719,0.9235699,0.00001869597,0.0000477792,0.0000299845,0.0001831692,0.06350378,0.005398166,0.0018911,0.000976503,0.0003665873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989179,0.00004640098,0.00002263417,0.0001108293,0.0000454758,0.00009701609,0.000001065512,0.00001078366,0.0007479214],"genre_scores_gemma":[0.9993417,0.000005161503,0.0001205272,0.0001279103,0.000005302638,0.00002702492,0.00001563694,0.000003561873,0.0003532317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0566258,"threshold_uncertainty_score":0.9992519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780212224561849,"score_gpt":0.2395855355416307,"score_spread":0.2217834132960122,"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."}}