{"id":"W2331719373","doi":"10.1080/1943815x.2015.1118388","title":"Effect of rice cultivars on yield-scaled methane emissions in a double rice field in South China","year":2015,"lang":"en","type":"article","venue":"Journal of Integrative Environmental Sciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Key Research and Development Program of China; National Institute of Metrology, China; National Natural Science Foundation of China","keywords":"Cultivar; Agronomy; Paddy field; Methane; Tiller (botany); Panicle; Biomass (ecology); Yield (engineering); Environmental science; Soil carbon; Chemistry; Soil water; Biology; Soil science; Materials science","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":[0.0005100561,0.0005039902,0.0004885722,0.0005293228,0.0003281817,0.0004004591,0.0002667794,0.0002648134,0.0003234488],"category_scores_gemma":[0.0003209136,0.000274882,0.0006039174,0.0004711719,0.0003839234,0.0003020424,0.0004540765,0.0003157137,0.00006838477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169078,"about_ca_system_score_gemma":0.00074385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01469624,"about_ca_topic_score_gemma":0.02834796,"domain_scores_codex":[0.999744,0.00003105295,0.0000224853,0.000118039,0.00004017401,0.0000442378],"domain_scores_gemma":[0.9994979,0.0001068542,0.0001169138,0.00005652286,0.00006124864,0.0001605899],"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":[0.002119585,0.0003314496,0.1775939,0.00009563308,0.0001841508,0.0004048975,0.0006580722,0.00051551,0.8122586,0.00005539893,0.00006644347,0.005716312],"study_design_scores_gemma":[0.00003132811,0.0007810154,0.9787538,0.000002636968,0.00004852988,0.0000920742,0.000320164,0.0008147312,0.01891156,0.0000231938,0.0002031528,0.00001777725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999058,0.00001161776,0.00002687147,0.000004216285,6.620346e-7,0.000002234199,0.00002566856,0.00000180107,0.00002097366],"genre_scores_gemma":[0.9992905,0.00003115227,0.0001807211,0.0000200497,7.80917e-7,0.00001142242,0.0002069588,0.000003946966,0.0002544851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01469624,"threshold_uncertainty_score":0.02922142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014978009131638,"score_gpt":0.2647847300718822,"score_spread":0.2446349499805658,"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."}}