{"id":"W2885249695","doi":"10.1038/s41598-018-30704-2","title":"Curve-fitting techniques improve the mid-infrared analysis of soil organic carbon: a case study for Brookston clay loam particle-size fractions","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Loam; Silt; Tillage; Soil water; Plough; Soil science; Total organic carbon; Chemistry; Soil carbon; Context (archaeology); Soil test; Mineralogy; Environmental chemistry; Environmental science; Agronomy; Geology","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":[0.002392511,0.0001385747,0.0002372949,0.00008269546,0.0007363737,0.0001607371,0.0001634102,0.00004710407,0.0002929817],"category_scores_gemma":[0.0007921774,0.0001052022,0.0001262499,0.00153117,0.0005229891,0.0001135501,0.0001993179,0.00008821882,0.000005090263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008712641,"about_ca_system_score_gemma":0.00005235673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00390693,"about_ca_topic_score_gemma":0.01109856,"domain_scores_codex":[0.997875,0.00007014129,0.0006182196,0.0006739788,0.0004369966,0.0003257096],"domain_scores_gemma":[0.9980015,0.0002407955,0.0005208564,0.001016367,0.0001281365,0.00009240839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002598304,0.0007671106,0.2970887,0.00002549124,0.000532725,0.000944616,0.01294827,0.0003591108,0.671746,0.00001233881,0.005237928,0.01031179],"study_design_scores_gemma":[0.0008445051,0.001156149,0.1057928,0.00005704484,0.004906809,0.001545655,0.02625479,0.08528223,0.7526392,0.008372748,0.0118326,0.001315406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947215,0.000009870613,0.001507681,0.0000487952,0.001220703,0.000777397,0.000009122041,0.00006112413,0.001643774],"genre_scores_gemma":[0.9969013,5.319444e-7,0.001103256,0.00002637979,0.00005588588,0.0001058565,0.000006332617,0.00001396788,0.001786539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1912959,"threshold_uncertainty_score":0.619326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609543317146571,"score_gpt":0.2773112226283218,"score_spread":0.261215789456856,"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."}}