{"id":"W2036964443","doi":"10.1007/s13593-013-0161-x","title":"Higher yield and lower carbon emission by intercropping maize with rape, pea, and wheat in arid irrigation areas","year":2013,"lang":"en","type":"article","venue":"Agronomy for Sustainable Development","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":179,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Intercropping; Agronomy; Irrigation; Crop; Agriculture; Cropping; Yield (engineering); Crop yield; Cropping system; Environmental science; Biology","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":[0.000249539,0.0002151184,0.0002543894,0.0002450908,0.0003119974,0.0003646443,0.0002825347,0.0001899252,0.001022714],"category_scores_gemma":[0.0003418315,0.0001222565,0.0002971686,0.0003851958,0.0002603068,0.0003309882,0.0003934343,0.0002617111,0.00008540072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006041543,"about_ca_system_score_gemma":0.0004533505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099541,"about_ca_topic_score_gemma":0.02044608,"domain_scores_codex":[0.9998342,0.00004285126,0.000008538256,0.00005105727,0.00001786371,0.00004537872],"domain_scores_gemma":[0.9997652,0.00004039655,0.0000519823,0.00002149307,0.00002775601,0.00009321634],"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":[0.006455747,0.001194744,0.2825638,0.0001312181,0.0004806773,0.0006400345,0.0008685194,0.002405955,0.6851008,0.0007092557,0.0001560534,0.01929324],"study_design_scores_gemma":[0.00003921401,0.0007376433,0.9866229,0.000004246729,0.0001031187,0.0001293945,0.0006417952,0.00131167,0.009792715,0.0002596189,0.0003483217,0.00000938589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998693,0.000006800912,0.00004141914,0.000003278176,3.106772e-7,7.635646e-7,0.000007181462,0.000001212411,0.00006957263],"genre_scores_gemma":[0.9995851,0.00001444167,0.0001068095,0.000005206196,3.516313e-7,0.000002489349,0.00004245429,0.000001899424,0.0002412353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01099541,"threshold_uncertainty_score":0.02186286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027103269058449,"score_gpt":0.1922899841117233,"score_spread":0.1820189514211388,"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."}}