{"id":"W1923342010","doi":"10.1071/cp14177","title":"Can wheat varietal mixtures buffer the impacts of water deficit?","year":2015,"lang":"en","type":"article","venue":"Crop and Pasture Science","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Agronomy; Biology; Abiotic component; Moisture stress; Water content; Cultivar; Yield (engineering); Plant breeding; Water-use efficiency; Drought tolerance; Population; Moisture; Water use; Resistance (ecology); Crop yield; Productivity; Crop; Ecology","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":[0.0005400481,0.0003489524,0.0005771586,0.0004169237,0.000226156,0.001030369,0.0005492124,0.0006042939,0.0018739],"category_scores_gemma":[0.0004283815,0.0001600607,0.0003622147,0.0004195521,0.0003034183,0.00165829,0.000469029,0.0005827273,0.0005444932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004200241,"about_ca_system_score_gemma":0.0002552871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004135001,"about_ca_topic_score_gemma":0.0006587012,"domain_scores_codex":[0.9998719,0.0000293481,0.00001022617,0.00004559064,0.00002239156,0.00002053885],"domain_scores_gemma":[0.9998548,0.00003847499,0.0000453291,0.00001352857,0.00002254556,0.000025306],"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":[0.0008641749,0.0001726771,0.005207893,0.001532635,0.0002752685,0.0002968156,0.0002199338,0.001176432,0.7290288,0.007179233,0.001017278,0.2530289],"study_design_scores_gemma":[0.000311985,0.00635589,0.1038414,0.0008453832,0.002183269,0.003039287,0.001366551,0.005854025,0.4281655,0.03683886,0.4109685,0.0002292442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7700281,0.1727203,0.03774654,0.004284421,0.0004764548,0.0001309448,0.0008648431,0.0005597536,0.01318868],"genre_scores_gemma":[0.9263028,0.05503123,0.01233678,0.00119995,0.0001760818,0.00008705659,0.0006104855,0.00009123862,0.004164285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0018739,"threshold_uncertainty_score":0.006268859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101819383981627,"score_gpt":0.2298140910619788,"score_spread":0.2087958972221626,"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."}}