{"id":"W10536534","doi":"","title":"La télédétection comme source de données pour le modèle de simulation agroenvironnemental AnnAGNPS.","year":2005,"lang":"fr","type":"article","venue":"","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Humanities; Geography; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001433281,0.0009123538,0.0009985975,0.0006749572,0.0006518743,0.00191473,0.00142718,0.002377688,0.006763361],"category_scores_gemma":[0.005629422,0.001085481,0.001348771,0.0009086403,0.0005822859,0.001186394,0.001036847,0.002259706,0.001345322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002216205,"about_ca_system_score_gemma":0.002648326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07689504,"about_ca_topic_score_gemma":0.04882072,"domain_scores_codex":[0.9993643,0.0002778037,0.00004257619,0.00009638143,0.0001761611,0.00004278507],"domain_scores_gemma":[0.9971103,0.002014151,0.0001611397,0.0001512691,0.0004871556,0.00007604446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000702674,0.00003840811,0.001128063,0.0001349603,0.00006523155,0.00009093433,0.00008573766,0.9652026,0.001312461,0.008827366,0.001688415,0.02135548],"study_design_scores_gemma":[0.000008597609,0.000009640949,0.0001337161,0.00001046853,0.000007008062,0.0000113379,0.00001024674,0.9959484,0.0002954797,0.001149693,0.002409184,0.000006243249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01984348,0.001090059,0.9658851,0.0009907186,0.0002792163,0.000169206,0.001391834,0.002384411,0.007966002],"genre_scores_gemma":[0.5325061,0.00183171,0.426762,0.0004709805,0.0001966059,0.00138323,0.002352366,0.001043055,0.03345397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07689504,"threshold_uncertainty_score":0.152895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0750616790232629,"score_gpt":0.2480836286701612,"score_spread":0.1730219496468983,"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."}}