{"id":"W2155749386","doi":"10.1007/s10705-012-9519-8","title":"A GIS-based fertilizer decision support system for farmers in Northeast China: a case study at Tong-le village","year":2012,"lang":"en","type":"article","venue":"Nutrient Cycling in Agroecosystems","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science and Technology Infrastructure Program","keywords":"Precision agriculture; Agriculture; Fertilizer; Geographic information system; Agricultural engineering; Decision support system; Nutrient management; Computer science; Environmental science; Database; Remote sensing; Engineering; Geography; Agronomy; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009405921,0.0004322957,0.0003692688,0.0007369224,0.00143157,0.0008231382,0.0009816665,0.00075463,0.002979961],"category_scores_gemma":[0.001346922,0.0003025272,0.0002353076,0.00111876,0.0005482688,0.000922406,0.0007233353,0.0002165981,0.0003791065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182241,"about_ca_system_score_gemma":0.002815023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0761065,"about_ca_topic_score_gemma":0.09796081,"domain_scores_codex":[0.9996564,0.0001194482,0.00002841092,0.00007188453,0.00005894334,0.00006482642],"domain_scores_gemma":[0.9989986,0.0003926473,0.0000673227,0.00009573415,0.0002326059,0.0002131243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002879186,0.004442337,0.4734991,0.000567646,0.0002381363,0.01865875,0.02408736,0.1505093,0.06652417,0.002721472,0.00691798,0.2489545],"study_design_scores_gemma":[0.0004954236,0.001846899,0.2196049,0.00009295462,0.0002659317,0.0009584237,0.04493113,0.7018806,0.01452645,0.001781506,0.01342004,0.0001956625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968203,0.00001879225,0.001426838,0.0001194779,0.000002766596,0.00009005889,0.0001328566,0.0001309266,0.001258024],"genre_scores_gemma":[0.9936495,0.00003211113,0.00500265,0.00001463998,0.000001943066,0.00004309859,0.000135171,0.000008976382,0.001111873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0761065,"threshold_uncertainty_score":0.151327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421767219138001,"score_gpt":0.2555265965722325,"score_spread":0.2413089243808525,"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."}}