{"id":"W2360185659","doi":"10.5539/jas.v8n6p22","title":"Integrating Record Keeping with Whole Farm Nutrient Mass Balance: A Case Study","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agricultural science; Software; Production (economics); Business; Data collection; Operations management; Agricultural engineering; Computer science; Engineering; Environmental science; Mathematics; Statistics; Operating system; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009737054,0.0001532342,0.000191703,0.00005586027,0.0003697977,0.0001315641,0.0005384788,0.00001834482,0.00008821382],"category_scores_gemma":[0.00006844023,0.00005905722,0.00005864311,0.0009593667,0.0002780002,0.0009452639,0.0002046508,0.0001408914,0.00003649289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000524428,"about_ca_system_score_gemma":0.000023133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002377747,"about_ca_topic_score_gemma":0.0001793848,"domain_scores_codex":[0.9979548,0.00004038919,0.0003836428,0.0002960051,0.0009414073,0.0003836966],"domain_scores_gemma":[0.9990485,0.00004538252,0.0004364132,0.0001551613,0.00008793894,0.0002265691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001287329,0.0008638116,0.5406343,0.000007470488,0.00004526657,0.002929268,0.003657314,0.000285757,0.3951734,0.000152357,0.002255044,0.05386725],"study_design_scores_gemma":[0.004834712,0.007354517,0.8789021,0.0006720595,0.0001353383,0.008695809,0.0618327,0.0002216167,0.02063921,0.0004361805,0.01520965,0.00106611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996141,0.00002041944,0.001225426,0.0006629416,0.0002360659,0.0002551136,9.776892e-7,0.00001252955,0.001445557],"genre_scores_gemma":[0.9968418,0.0000196483,0.002643504,0.00006798771,0.000067313,0.000005434993,5.805719e-8,0.000003808263,0.0003504011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3745342,"threshold_uncertainty_score":0.2844222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007917861330121874,"score_gpt":0.2189975589755941,"score_spread":0.2110796976454722,"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."}}