{"id":"W2910863948","doi":"10.3390/agriculture9010020","title":"Evaluating the Effectiveness of Rhizobium Inoculants and Micronutrients as Technologies for Nepalese Common Bean Smallholder Farmers in the Real-World Context of Highly Variable Hillside Environments and Indigenous Farming Practices","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Global Affairs Canada; International Development Research Centre; U.S. Department of Agriculture","keywords":"Microbial inoculant; Context (archaeology); Agronomy; Nitrogen fixation; Biology; Rhizobium; Crop; Rhizobia; Agroforestry; Agriculture; Crop yield; Micronutrient; Geography; Horticulture; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00123115,0.0001702771,0.0002855432,0.00002071026,0.0001626588,0.00004044752,0.0003370783,0.0001361844,0.000002811053],"category_scores_gemma":[0.0002138849,0.00005109814,0.00004816396,0.0003317789,0.0001200471,0.0001436242,0.0001350752,0.0001791032,0.000001117192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003217491,"about_ca_system_score_gemma":0.000007896543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003505082,"about_ca_topic_score_gemma":0.0006946923,"domain_scores_codex":[0.9985917,0.0003897999,0.000255572,0.000297347,0.0002261523,0.0002394397],"domain_scores_gemma":[0.9974139,0.001933177,0.0004851049,0.0001038566,0.00004496126,0.00001904046],"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":[0.0001084539,0.00008734745,0.26711,0.00007191156,0.00004203229,6.103155e-7,0.0009668956,0.00000137935,0.7281186,0.0001546778,0.000007354964,0.003330702],"study_design_scores_gemma":[0.0006812679,0.0006986139,0.7751332,0.0002018716,0.00009314854,0.00001295615,0.01449482,0.000005190934,0.2076117,0.0005545435,0.0003315003,0.0001812138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972227,0.0006151412,1.384785e-7,0.0003638517,0.00003682459,0.001590774,0.00004988039,0.00001512475,0.0001055822],"genre_scores_gemma":[0.999558,0.00009211124,0.00009933949,0.00006930775,0.00001461378,0.00008206467,0.00004619927,0.000001724041,0.00003665701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5205069,"threshold_uncertainty_score":0.5298659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020551576107975,"score_gpt":0.2708814328126461,"score_spread":0.2506759170515663,"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."}}