{"id":"W2944750402","doi":"10.1080/15481603.2019.1613804","title":"Detecting advanced stages of winter wheat yellow rust and aphid infection using RapidEye data in North China Plain","year":2019,"lang":"en","type":"article","venue":"GIScience & Remote Sensing","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Natural Science Foundation of China","keywords":"Aphid; Rust (programming language); Soybean rust; PEST analysis; Agronomy; Biology; Geography; Cartography; Remote sensing; Horticulture; Computer science","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":[0.0003841357,0.0003721978,0.0002434744,0.001165068,0.0002679269,0.0003211973,0.0002079447,0.0002761002,0.0003450969],"category_scores_gemma":[0.0003231437,0.000156732,0.0002585487,0.0005491171,0.0001624919,0.0004016547,0.000224487,0.0001406393,0.0001190442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004267091,"about_ca_system_score_gemma":0.0003523338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02930208,"about_ca_topic_score_gemma":0.08196646,"domain_scores_codex":[0.9998575,0.00001522141,0.00001021728,0.00004966059,0.00003864161,0.00002867854],"domain_scores_gemma":[0.9996895,0.00003954566,0.00005770196,0.00002826651,0.0001480575,0.00003703365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004106428,0.0003114411,0.8089195,0.0001344425,0.00009279827,0.0005393915,0.0006251444,0.007684804,0.1035343,0.0001262456,0.0009014893,0.07671966],"study_design_scores_gemma":[0.0000156977,0.00008035413,0.9647611,0.000009484328,0.0000352604,0.00008776812,0.0004028382,0.02595675,0.008108099,0.00004351322,0.0004812808,0.00001785522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985325,0.0000357965,0.0005579722,0.0000149364,0.000004397176,0.00001443065,0.0003367311,0.00003704336,0.0004661281],"genre_scores_gemma":[0.9962663,0.00003794354,0.002305431,0.00001044197,0.000004044552,0.00001444187,0.0009848446,0.00000416326,0.0003724179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02930208,"threshold_uncertainty_score":0.05826306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285130394371289,"score_gpt":0.2399484103567922,"score_spread":0.2270971064130793,"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."}}