{"id":"W3020701718","doi":"10.1002/agg2.20003","title":"The performance of spring wheat cultivar mixtures under conventional and organic management in Western Canada","year":2020,"lang":"en","type":"article","venue":"Agrosystems Geosciences & Environment","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"","keywords":"Cultivar; Falling Number; Yield (engineering); Agronomy; Abiotic component; Winter wheat; Organic farming; Sedimentation; Horticulture; Mathematics; Environmental science; Biology; Agriculture; Ecology; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004120709,0.0004656563,0.0003260361,0.0004987842,0.001252118,0.000874613,0.000596954,0.000170291,0.0005486518],"category_scores_gemma":[0.0003406793,0.0002122388,0.0002446495,0.0008380697,0.0006489773,0.0002455841,0.0004798025,0.0002851509,0.0001406383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01613891,"about_ca_system_score_gemma":0.008788953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8827885,"about_ca_topic_score_gemma":0.9747263,"domain_scores_codex":[0.9994348,0.00003724467,0.00002418337,0.0001848328,0.0001959242,0.0001230304],"domain_scores_gemma":[0.9993531,0.0000311061,0.00009076695,0.00003275476,0.0002989384,0.0001933488],"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":[0.002928616,0.0005255967,0.4050241,0.0001628493,0.0002707331,0.0004881844,0.001985254,0.001153134,0.54407,0.0002681765,0.001062832,0.04206048],"study_design_scores_gemma":[0.0000214152,0.0004636311,0.9862132,0.000007654269,0.00005561624,0.00005293139,0.001106066,0.0007793805,0.009423245,0.00002216005,0.001831646,0.00002313078],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991661,0.00006981185,0.0001037684,0.00001258485,0.000003127109,0.000013375,0.0001859002,0.000008688271,0.0004366271],"genre_scores_gemma":[0.9964928,0.0001359868,0.0007902073,0.0000608099,0.00000163538,0.000020084,0.000754326,0.00001265324,0.001731469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1172115,"threshold_uncertainty_score":0.2358034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007788414467078643,"score_gpt":0.1787593989308655,"score_spread":0.1709709844637869,"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."}}