{"id":"W2996381660","doi":"","title":"Impacts of fire on nitrogen cycling in aquatic and terrestrial ecosystems in the Yukon-Kuskokwim River Delta, AK","year":2017,"lang":"en","type":"article","venue":"AGUFM","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Delta; Cycling; Environmental science; Ecosystem; River delta; Aquatic ecosystem; Terrestrial ecosystem; Nitrogen; Nitrogen cycle; Water resource management; Ecology; Hydrology (agriculture); Geography; Forestry; Geology; Engineering; Biology; Chemistry","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":[0.0009603602,0.0001334845,0.0002298372,0.00003869103,0.0001085773,0.00005695336,0.0004563908,0.00007560824,0.00002855726],"category_scores_gemma":[0.0003233372,0.00009348147,0.00003992347,0.00007310351,0.0001237943,0.0002172274,0.000106805,0.0001442143,0.0001314869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009940936,"about_ca_system_score_gemma":0.000008911688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06294479,"about_ca_topic_score_gemma":0.03683882,"domain_scores_codex":[0.9987413,0.0002122008,0.0002869,0.0002350858,0.0002690721,0.0002554452],"domain_scores_gemma":[0.9988792,0.0003168301,0.0002174871,0.0005341207,0.00000122058,0.00005113235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007076361,0.0001141019,0.9825627,0.00003778542,0.00001044323,0.00005565746,0.002640446,0.000380567,0.002478807,0.00001836796,0.0001401122,0.01149022],"study_design_scores_gemma":[0.002867403,0.0004131669,0.863944,0.000571657,0.00002093074,0.0000259042,0.0003608483,0.1276386,0.002402207,0.0009901031,0.0004174028,0.0003477699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973662,0.00006753261,0.000001209261,0.0001635907,0.0001874512,0.0005110067,0.000006055156,0.000007310208,0.00168967],"genre_scores_gemma":[0.99981,0.00001408114,0.00002072907,0.00004857419,0.00006273116,0.00002114764,0.000002043153,0.00001163137,0.000009052979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1272581,"threshold_uncertainty_score":0.9807364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291287518912182,"score_gpt":0.2454304280995505,"score_spread":0.2325175529104286,"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."}}