{"id":"W2887993166","doi":"10.1038/s41467-018-05731-2","title":"Combining spectroscopic and isotopic techniques gives a dynamic view of phosphorus cycling in soil","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":238,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"SLAC National Accelerator Laboratory; Basic Energy Sciences; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Cycling; Soil water; Phosphorus; Environmental chemistry; Genetic algorithm; Phosphate; Chemistry; Extraction (chemistry); Environmental science; Soil 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":[],"consensus_categories":[],"category_scores_codex":[0.0002111933,0.00008324072,0.0001299295,0.00004964005,0.0001328764,0.00001399001,0.0005399013,0.00008404661,0.00005190355],"category_scores_gemma":[0.00003063944,0.00007980857,0.00002197875,0.0003038659,0.0003678207,0.00009393648,0.000703888,0.0003108906,0.0000143886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000757876,"about_ca_system_score_gemma":0.00000532064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002331466,"about_ca_topic_score_gemma":0.001342881,"domain_scores_codex":[0.9993613,0.00004694819,0.0001918577,0.0001579155,0.0001058793,0.0001361301],"domain_scores_gemma":[0.9990918,0.00006186942,0.00008155335,0.0007274826,0.000009198069,0.00002809253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004677766,0.001303078,0.7548023,0.00006448934,0.00005430399,0.000003118678,0.004396931,0.000005477079,0.04029344,0.03940562,0.001923941,0.1577005],"study_design_scores_gemma":[0.0009101828,0.0003433705,0.7497088,0.0004061793,0.0000419216,0.000003501837,0.0004725748,0.004589301,0.04429043,0.01246134,0.1863291,0.0004433488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567408,0.01054387,0.0001390761,0.001676656,0.0000656844,0.0003883115,0.000003267645,0.00005445765,0.0303879],"genre_scores_gemma":[0.9851394,0.006887378,0.007618732,0.000209944,0.000004476525,0.00002818045,0.000005195946,0.000006951128,0.00009973385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1844052,"threshold_uncertainty_score":0.3254499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008604578432631202,"score_gpt":0.281294486690919,"score_spread":0.2726899082582878,"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."}}