{"id":"W3134933736","doi":"10.3390/agronomy11030432","title":"Analysis of Four Delineation Methods to Identify Potential Management Zones in a Commercial Potato Field in Eastern Canada","year":2021,"lang":"en","type":"article","venue":"Agronomy","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Fredericton; Institut National de la Recherche Scientifique; McGill University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Spatial variability; Precision agriculture; Soil science; Soil test; Environmental science; Sampling (signal processing); Spatial analysis; Remote sensing; Mathematics; Soil water; Statistics; Computer science; Agriculture; Geology; Geography","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":[0.0001931314,0.00005670945,0.0001399673,0.00009306461,0.00001744291,0.00001257847,0.00008596,0.0000176728,0.0003850418],"category_scores_gemma":[0.00002419681,0.00006417622,0.00003050437,0.0005863385,0.000007275556,0.00003945532,0.0001551191,0.00003805662,0.000005180358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001114295,"about_ca_system_score_gemma":0.00001942323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5957965,"about_ca_topic_score_gemma":0.9041303,"domain_scores_codex":[0.9992823,0.00006935215,0.0002247105,0.0001711024,0.0001258669,0.0001266694],"domain_scores_gemma":[0.9997419,0.00004996131,0.00004018587,0.0001225125,0.000008021192,0.00003738175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001134414,0.00004031856,0.7001938,0.000009797803,0.0001015565,0.00009145664,0.0003651553,0.04369291,0.0001963216,0.0001207266,0.000596975,0.2545796],"study_design_scores_gemma":[0.0001565213,0.000005579116,0.983052,0.000009311269,0.00007360402,4.047362e-7,0.000449121,0.01430604,0.0002129835,0.00009161782,0.001566811,0.00007603994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7400775,0.00001135945,0.2579654,0.0003876713,0.00006771973,0.00007804782,0.000004115408,0.000001580148,0.001406567],"genre_scores_gemma":[0.9523242,0.000003813426,0.04694244,0.0003782478,0.000006971504,0.00001351057,0.00001680208,0.000002768472,0.0003112952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3083338,"threshold_uncertainty_score":0.4215938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789445884742621,"score_gpt":0.3046982744340665,"score_spread":0.2868038155866403,"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."}}