{"id":"W2778129275","doi":"10.1080/1065657x.2017.1342106","title":"Influence of Manure Type and Bedding Material on Carbon Content of Particulate Organic Matter in Feedlot Amendments Using <sup>13</sup>C NMR-DPMAS","year":2017,"lang":"en","type":"article","venue":"Compost Science & Utilization","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Feedlot; Alkyl; Manure; Chemistry; Bedding; Compost; Amendment; Aromaticity; Organic chemistry; Environmental chemistry; Agronomy; Animal science; Horticulture; Molecule","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":[],"consensus_categories":[],"category_scores_codex":[0.0002585965,0.00009811624,0.0001586444,0.00003644626,0.0001853698,0.00008040864,0.0002567419,0.00004714895,0.00002258015],"category_scores_gemma":[0.00008791495,0.00005014101,0.00001552116,0.0003008494,0.0003529133,0.0002110818,0.0001372148,0.00004439077,0.000001550155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004204937,"about_ca_system_score_gemma":0.00001710467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006432674,"about_ca_topic_score_gemma":0.0001824558,"domain_scores_codex":[0.999034,0.00003235055,0.0002337861,0.000242445,0.00026509,0.0001923045],"domain_scores_gemma":[0.9994532,0.00002189315,0.000210337,0.00009756503,0.0001627929,0.00005422971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003403936,0.00002455883,0.3513,0.000006131126,0.000001254138,5.150952e-7,0.00008205223,0.001620591,0.6466194,0.00004840832,1.95116e-7,0.0002628987],"study_design_scores_gemma":[0.0001390541,0.000127981,0.8282171,0.00008766264,0.000006943334,0.000002727608,0.0001020397,0.04253046,0.1286419,0.00006289626,0.00000107811,0.00008017966],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996189,0.00001153688,0.00000102188,0.00005506312,0.00006066894,0.000150308,0.000008065307,0.000007715662,0.00008664575],"genre_scores_gemma":[0.9998937,0.00001125461,0.0000199874,0.00004357874,0.0000158402,0.000001197114,0.000007565384,0.000001172511,0.000005687742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5179775,"threshold_uncertainty_score":0.2044691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06341440991042702,"score_gpt":0.2807821002847732,"score_spread":0.2173676903743462,"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."}}