{"id":"W7001319422","doi":"","title":"The JECAM SAR Inter-Comparison Experiment: Comparing agriculture classification results utilizing a well-established operational decision tree methodology incorporating a variety of C-band SAR and optical imagery applied to 13 worldwide, diverse agriculture systems","year":2018,"lang":"en","type":"article","venue":"Agritrop (Cirad)","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Synthetic aperture radar; Agriculture; Data set; Earth observation; Consistency (knowledge bases); Decision tree; Variety (cybernetics); Precision agriculture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002382753,0.0003097117,0.0007954838,0.0002137756,0.0006074734,0.0001980658,0.0003621208,0.0002102008,0.00001105725],"category_scores_gemma":[0.001463661,0.0001703091,0.00009000285,0.0009569587,0.0006524591,0.0002244977,0.0002381518,0.0005339225,0.00001732771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619517,"about_ca_system_score_gemma":0.0001289718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004285896,"about_ca_topic_score_gemma":0.0003459927,"domain_scores_codex":[0.996499,0.0002843349,0.001007295,0.000759276,0.0009381676,0.000511914],"domain_scores_gemma":[0.9968208,0.001222558,0.0003404635,0.0004915504,0.0007047308,0.0004198692],"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":[0.003189303,0.0003537887,0.01056872,0.0001118353,0.0001367432,0.00001833468,0.006848393,0.00008083809,0.9287277,0.005414072,0.03087585,0.01367444],"study_design_scores_gemma":[0.01914205,0.004735771,0.4434651,0.002847992,0.0007149227,0.0005790518,0.1985114,0.04199538,0.2535628,0.0004012815,0.03250237,0.001541921],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567544,0.001089565,0.02087888,0.001744041,0.0007347316,0.001858487,0.00001505821,0.00008943916,0.01683543],"genre_scores_gemma":[0.9830516,0.00006012945,0.01553923,0.0001795331,0.0007741688,0.00004221379,0.00008882413,0.00001614629,0.0002481415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6751649,"threshold_uncertainty_score":0.6945001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08707923712196067,"score_gpt":0.3520601096684122,"score_spread":0.2649808725464515,"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."}}