{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005809895,0.0004561628,0.0004037482,0.0005131312,0.0002149541,0.0006813594,0.0006038087,0.0006137266,0.00123285],"category_scores_gemma":[0.0008375847,0.0001716957,0.0007096159,0.0006896083,0.0003433424,0.0004654143,0.0003955045,0.0002633051,0.0001597444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568095,"about_ca_system_score_gemma":0.0008217432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04794353,"about_ca_topic_score_gemma":0.02941312,"domain_scores_codex":[0.9998254,0.00007037877,0.00000499526,0.00003009185,0.00001642422,0.00005271925],"domain_scores_gemma":[0.9995999,0.0002036064,0.00005278055,0.00004338377,0.00006089406,0.00003952779],"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":[0.000390118,0.0000915583,0.01377506,0.00009023464,0.00007983526,0.0001476502,0.00003468258,0.9762816,0.002002847,0.00135789,0.0009183845,0.004830145],"study_design_scores_gemma":[0.0001231697,0.0002751095,0.04594665,0.00002704754,0.0001586399,0.00004388432,0.0002146828,0.9486728,0.001964322,0.001235587,0.00130352,0.00003461472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931026,0.0001587577,0.001352015,0.0001664158,0.00001124741,0.00001527484,0.001098668,0.00007643839,0.004018643],"genre_scores_gemma":[0.9985001,0.00006327295,0.0004773217,0.000006741369,0.000002574086,0.00001321625,0.0004314091,0.0000100745,0.0004953126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04794353,"threshold_uncertainty_score":0.09532893,"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."}}