{"id":"W2475208592","doi":"10.1017/s1742170516000223","title":"Lentil enhances agroecosystem productivity with increased residual soil water and nitrogen","year":2016,"lang":"en","type":"article","venue":"Renewable Agriculture and Food Systems","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Agronomy; Monoculture; Agroecosystem; Cultivar; Sowing; Crop rotation; Environmental science; Soil water; Crop; Biology; Agriculture","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":[0.0001946301,0.0002748765,0.0002369387,0.0003684635,0.0002179524,0.0004710515,0.0003083563,0.0001232256,0.0007541138],"category_scores_gemma":[0.0001474586,0.000118315,0.00018541,0.0002511471,0.0002272517,0.0003473688,0.0003176811,0.0002594416,0.0001334797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001811298,"about_ca_system_score_gemma":0.0004459874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100611,"about_ca_topic_score_gemma":0.0301646,"domain_scores_codex":[0.9998908,0.00001656759,0.000009251449,0.00003232891,0.00002656551,0.00002436057],"domain_scores_gemma":[0.9996606,0.00002504326,0.0001033946,0.00002405198,0.0000494003,0.0001373981],"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":[0.0001948068,0.0001485808,0.0208301,0.0000624009,0.00004259618,0.00006300305,0.00004434256,0.0001381291,0.9744993,0.00003239985,0.00004852682,0.003895859],"study_design_scores_gemma":[0.00002635006,0.0008828857,0.8970053,0.000009560082,0.00004482689,0.00009352522,0.000182429,0.001240311,0.09884352,0.00005192795,0.001604802,0.00001449638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999503,0.00006759596,0.0001089653,0.000008245717,0.0000010729,0.000006215338,0.00005529705,0.00001969165,0.0002298436],"genre_scores_gemma":[0.9988227,0.00006664758,0.0004710991,0.00002927292,0.000001489379,0.000009148467,0.0001653622,0.000009218268,0.000424967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01100611,"threshold_uncertainty_score":0.02188408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00857772231427892,"score_gpt":0.1557792752123182,"score_spread":0.1472015528980393,"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."}}