{"id":"W2737853255","doi":"","title":"Sustainability of maize-based cropping systems with different weed management in Italy as evaluated with DEXiPM model","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Cropping; Weed control; Weed; Sustainability; Cropping system; Agronomy; Agroforestry; Agricultural engineering; Environmental science; Crop; Biology; Agriculture; Engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004215658,0.0005310542,0.0007435461,0.0002402902,0.0002209025,0.0002714077,0.001286566,0.000297463,0.0001456085],"category_scores_gemma":[0.0003343556,0.0003801046,0.0001759715,0.0009485369,0.0004557271,0.0001712155,0.001321659,0.000701642,0.000009973666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001463295,"about_ca_system_score_gemma":0.0002241093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05309099,"about_ca_topic_score_gemma":0.02004611,"domain_scores_codex":[0.9932197,0.003049042,0.0008237275,0.001167672,0.001172342,0.0005675067],"domain_scores_gemma":[0.9949197,0.0003921526,0.0009051646,0.002309476,0.001261623,0.0002119088],"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":[0.0002252762,0.001831695,0.06031333,0.001902313,0.0004195994,0.00006341136,0.004632153,0.9152585,0.003880415,0.006704062,0.0001206428,0.004648576],"study_design_scores_gemma":[0.001872547,0.0000041578,0.09542904,0.0025585,0.0003565757,0.00001049089,0.002583719,0.8891848,0.005262868,0.001481074,0.0002669396,0.0009892815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9265822,0.0001104497,0.05548121,0.001756126,0.00003851834,0.002526158,0.000016268,0.0001054275,0.0133836],"genre_scores_gemma":[0.9885451,0.00001162523,0.005194287,0.00001661159,0.000004550493,0.0006200919,0.000167357,0.00004306844,0.005397301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06196287,"threshold_uncertainty_score":0.9998651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007398410427793644,"score_gpt":0.2113275673242831,"score_spread":0.2039291568964895,"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."}}