{"id":"W2042627471","doi":"10.1016/j.agee.2009.06.002","title":"Competition between maize and pigeonpea in semi-arid Tanzania: Effect on yields and nutrition of crops","year":2009,"lang":"en","type":"article","venue":"Agriculture Ecosystems & Environment","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Agronomy; Intercropping; Nutrient; Cropping system; Competition (biology); Fertilizer; Leaching (pedology); Interspecific competition; Manure; Soil fertility; Cropping; Biology; Crop; Soil water; Agriculture; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728379,0.0002110701,0.0002083141,0.0003040011,0.0004093105,0.000328908,0.0003389589,0.0003048565,0.002667298],"category_scores_gemma":[0.0007008437,0.0001891526,0.000164428,0.0002340026,0.0004700361,0.0002661795,0.0004089747,0.000283836,0.0001468331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008464,"about_ca_system_score_gemma":0.0006592711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379631,"about_ca_topic_score_gemma":0.06675307,"domain_scores_codex":[0.9998553,0.00006162444,0.000007056505,0.00002236348,0.00001007921,0.00004355223],"domain_scores_gemma":[0.998865,0.0004835741,0.0002224344,0.00002605033,0.00004280503,0.0003601956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01543367,0.001013138,0.6352644,0.0002765618,0.0002134941,0.002048454,0.002902126,0.001775222,0.3262598,0.001895709,0.0005467405,0.01237066],"study_design_scores_gemma":[0.00009259798,0.001422565,0.988966,0.00001214443,0.00005426414,0.0004014536,0.001896603,0.001974942,0.004465213,0.0002407942,0.000455569,0.00001778176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998661,0.00002658226,0.000007574348,0.00001108856,3.179627e-7,5.314006e-7,0.000007674368,5.029909e-7,0.00007950754],"genre_scores_gemma":[0.9997942,0.0000151268,0.00002657614,0.000007876417,3.863179e-7,0.000001221901,0.0000121932,6.307949e-7,0.000141824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02379631,"threshold_uncertainty_score":0.0473156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00690964807687532,"score_gpt":0.1848586803702129,"score_spread":0.1779490322933375,"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."}}