{"id":"W4377021461","doi":"10.21203/rs.3.rs-2839015/v1","title":"Productivity of Different Nutrient Management Systems under Diverse Rice-Based Crop Rotations in the Dry Zone of Sri Lanka","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cropping system; Agronomy; Nutrient management; Intercropping; Productivity; Cropping; Crop rotation; Environmental science; Nutrient; Crop yield; Biomass (ecology); Crop; Agricultural diversification; Mathematics; Agriculture; Biology; Ecology; Economics","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":[0.0002164068,0.0003501681,0.0003356602,0.001007009,0.0005182998,0.0007188319,0.0005010219,0.0001725372,0.001097347],"category_scores_gemma":[0.0002742962,0.0001955501,0.0004348848,0.001337242,0.0005213276,0.0002888181,0.000516418,0.0002386125,0.0002888008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812412,"about_ca_system_score_gemma":0.0008198324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06005901,"about_ca_topic_score_gemma":0.1098575,"domain_scores_codex":[0.9997507,0.00005253344,0.00002287054,0.00006740617,0.00002027869,0.00008629754],"domain_scores_gemma":[0.9997496,0.00005073416,0.00005924624,0.00001678507,0.00004357064,0.00008004206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004275987,0.0005053828,0.7655228,0.0004031527,0.0007433653,0.001972956,0.008402055,0.002892289,0.1855372,0.0006896472,0.0004796857,0.02857538],"study_design_scores_gemma":[0.00001430423,0.0004848813,0.9948471,0.000008136489,0.00005023248,0.0001682068,0.002445053,0.000292332,0.00133259,0.00001986963,0.0003249926,0.00001232804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994897,0.00003043556,0.00002142287,0.000005520018,3.927173e-7,0.000002457092,0.0001345716,0.000002530425,0.0003129749],"genre_scores_gemma":[0.9991529,0.00004831264,0.00008762325,0.000006838298,6.047604e-7,0.000007546184,0.0002815251,0.000002136695,0.0004126266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06005901,"threshold_uncertainty_score":0.1194189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479683633679844,"score_gpt":0.3576741894661548,"score_spread":0.2097058260981703,"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."}}