{"id":"W4289492481","doi":"","title":"Multicriteria Assessment of the Effects of Tillage Practices on Cropping Systems: Development of the Decision Support Tool DEXiSol","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Tillage; Cropping; Decision support system; Computer science; Agricultural engineering; Engineering; Agriculture; Artificial intelligence; Agronomy; Geography","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":[0.002829166,0.001001178,0.001166959,0.001526848,0.000253633,0.001372704,0.001040008,0.0007704162,0.002459164],"category_scores_gemma":[0.006410393,0.0004568488,0.001442575,0.0008940942,0.0002534259,0.001038134,0.001253636,0.0005979098,0.0003921829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006848057,"about_ca_system_score_gemma":0.0008398364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004503195,"about_ca_topic_score_gemma":0.006385337,"domain_scores_codex":[0.999208,0.0003203457,0.00007975227,0.0001863676,0.0001418682,0.00006355005],"domain_scores_gemma":[0.9937667,0.004634887,0.000521061,0.0003411902,0.0005511185,0.0001851748],"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":[0.001148252,0.0004787874,0.03370911,0.0004092817,0.0005499385,0.0002716541,0.0002577248,0.8624136,0.009909246,0.00178933,0.001043585,0.08801942],"study_design_scores_gemma":[0.00006413981,0.0001507532,0.004570443,0.00001374861,0.00005926219,0.00004041507,0.00007077707,0.9899887,0.00328427,0.001125054,0.0006154954,0.00001693729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7536134,0.0002325471,0.2355886,0.0002231079,0.0000411296,0.0001701552,0.002997312,0.004061318,0.00307257],"genre_scores_gemma":[0.8466717,0.00008446327,0.1506802,0.00003967812,0.00001554625,0.0001271065,0.001576489,0.000156375,0.000648416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004503195,"threshold_uncertainty_score":0.01496226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045861906969893,"score_gpt":0.2545769364570118,"score_spread":0.2341183173873129,"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."}}