{"id":"W2833835809","doi":"10.5539/jas.v10n8p125","title":"Management of Soil Mulch in Weed Suppression and Sugarcane Productivity","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Mulch; Agronomy; Weed control; Productivity; Weed; Crotalaria juncea; Cajanus; Soil fertility; Agroforestry; Environmental science; Biology; Soil water; Green manure; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006969739,0.0000863776,0.0001541353,0.00003329226,0.00013052,0.00005363462,0.0003344539,0.00002698512,0.00004990901],"category_scores_gemma":[0.00003807659,0.00002559519,0.00004025698,0.0009136117,0.0003470581,0.0004908233,0.0001728222,0.00008758547,0.000002112141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002670936,"about_ca_system_score_gemma":0.000005896061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001765836,"about_ca_topic_score_gemma":0.000277745,"domain_scores_codex":[0.9988495,0.00002883234,0.0002703943,0.0001829058,0.0004536617,0.0002147447],"domain_scores_gemma":[0.9994028,0.0000342301,0.000233483,0.00003778771,0.00021187,0.00007980669],"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":[0.0000577145,0.0001417506,0.04455973,0.00002023153,0.00001014744,0.00001114612,0.0002178533,0.00000718045,0.8707718,0.0002886648,0.0005456429,0.08336814],"study_design_scores_gemma":[0.0001416402,0.0003352545,0.97159,0.00009361938,0.000008963048,0.00001575945,0.001062399,0.000008417461,0.02604677,0.0001451947,0.0004766124,0.00007539312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962537,0.00006589563,4.816268e-7,0.001469331,0.0002037975,0.0001226488,7.894528e-7,0.000005082029,0.001878227],"genre_scores_gemma":[0.999381,0.00004943666,0.0001367495,0.00001838421,0.0001816406,0.000001496543,4.214747e-7,2.442473e-7,0.0002306067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9270303,"threshold_uncertainty_score":0.127875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352117375490159,"score_gpt":0.2257212879464141,"score_spread":0.2122001141915125,"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."}}