{"id":"W2762243603","doi":"10.5539/sar.v6n4p124","title":"Screening Cover Crops for Weed Suppression in Conservation Agriculture","year":2017,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Inyuvesi Yakwazulu-Natali; National Research Foundation","keywords":"Lablab purpureus; Mucuna pruriens; Mucuna; Weed; Agronomy; Dolichos; Weed control; Biology; Vigna; Cover crop; Biomass (ecology); Conservation agriculture; Agriculture; Randomized block design; Agroforestry; Legume; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003805781,0.0003361965,0.0005095328,0.0006863117,0.0003432329,0.000466159,0.0004914466,0.000288702,0.001627978],"category_scores_gemma":[0.0004535673,0.0002042888,0.0002257687,0.0006536607,0.0001553031,0.0003888228,0.0002369197,0.0001939175,0.0002157021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000751287,"about_ca_system_score_gemma":0.0004667918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005557091,"about_ca_topic_score_gemma":0.02051953,"domain_scores_codex":[0.9997049,0.00005637004,0.00002087827,0.00004789299,0.0001238222,0.00004616321],"domain_scores_gemma":[0.99946,0.00008624209,0.0001939491,0.00002813643,0.0001377162,0.00009386656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008681513,0.0005017191,0.0274063,0.0004601929,0.00004497104,0.000278206,0.0001249954,0.0002124066,0.9421012,0.00004594798,0.000130625,0.02782524],"study_design_scores_gemma":[0.0001009416,0.01707726,0.7392135,0.0001331206,0.0002000896,0.0007248026,0.0008736646,0.001303207,0.2311944,0.0001110061,0.009028056,0.00003988434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971201,0.0008127564,0.0005500688,0.00004547506,0.000005716525,0.00009765795,0.0001498115,0.00002156382,0.001196805],"genre_scores_gemma":[0.9894596,0.00167558,0.005576636,0.00006376598,0.000007197046,0.0001590747,0.000612705,0.00001053298,0.002434937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005557091,"threshold_uncertainty_score":0.01104951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07563980466989464,"score_gpt":0.3499458961675136,"score_spread":0.274306091497619,"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."}}