{"id":"W2967277145","doi":"10.1126/science.aay2723","title":"Changing nutrients, changing rivers","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"","keywords":"Nutrient; Environmental science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005190991,0.00009193539,0.00007486153,0.0001916456,0.0002949526,0.00005659674,0.0005234999,0.0000235849,0.0003272741],"category_scores_gemma":[0.0000157584,0.00008014665,0.00003081974,0.001866559,0.0003775271,0.0005828808,0.0005249218,0.00006849453,0.002836709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885207,"about_ca_system_score_gemma":0.00001200476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001344484,"about_ca_topic_score_gemma":5.116453e-7,"domain_scores_codex":[0.9983122,0.000008200069,0.00008629476,0.00039485,0.0005416241,0.0006568523],"domain_scores_gemma":[0.9995527,0.00001146712,0.00003957997,0.0002723024,0.000007698242,0.0001162547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004141513,0.00002545347,0.9877489,0.000003839635,0.000001207489,0.00000354828,0.002059355,0.0006436046,0.002255308,0.0004945223,0.00004784309,0.006712271],"study_design_scores_gemma":[0.003773771,0.0005371708,0.5625854,0.0002397767,0.00004301454,0.00008716607,0.01008094,0.2007468,0.05871069,0.03779367,0.1224977,0.002903882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979143,0.000009246181,0.000309571,0.00008793286,0.0006715011,0.0001341723,0.000001484298,0.0000591427,0.01958402],"genre_scores_gemma":[0.9969555,0.000005739962,0.0004792213,0.0002641665,0.00002485013,0.000003930827,0.000001249741,0.000006428031,0.002258951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4251636,"threshold_uncertainty_score":0.9979397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004934383850635501,"score_gpt":0.1971232652814244,"score_spread":0.1921888814307889,"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."}}