{"id":"W4400677454","doi":"10.1016/j.eja.2024.127281","title":"High yield, good eating quality, and high N use efficiency for medium hybrid indica rice: From the perspective of balanced source-sink relationships at heading","year":2024,"lang":"en","type":"article","venue":"European Journal of Agronomy","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Anhui Agricultural University","keywords":"Sink (geography); Agronomy; Heading (navigation); Yield (engineering); Perspective (graphical); Environmental science; Mathematics; Agricultural engineering; Biology; Materials science; Engineering; Geography","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":[0.000163287,0.000357344,0.0002017857,0.0002713975,0.0002043075,0.000379588,0.0002613338,0.0002595675,0.001300637],"category_scores_gemma":[0.0001325973,0.0001990941,0.0001733095,0.0001655334,0.0002948677,0.0003926724,0.0003850699,0.0003394432,0.0001542942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003508136,"about_ca_system_score_gemma":0.0002180942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008902682,"about_ca_topic_score_gemma":0.001192883,"domain_scores_codex":[0.999931,0.00001069108,0.000006661861,0.00002433528,0.00001088961,0.00001644545],"domain_scores_gemma":[0.9998527,0.00002983757,0.00004087845,0.00001331701,0.00001385356,0.00004947646],"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":[0.0003983338,0.0000143371,0.002319849,0.00002370851,0.000008927113,0.00009036045,0.0000211074,0.0001288629,0.9949523,0.0002646756,0.00003232028,0.001745412],"study_design_scores_gemma":[0.0001416138,0.0009973976,0.3957929,0.00001226495,0.0001579214,0.001778554,0.0003836621,0.006664951,0.5887372,0.002415221,0.002854002,0.00006433859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961208,0.0002846071,0.002443266,0.000111166,0.000008315729,0.000003055448,0.0001265683,0.00004705596,0.0008551616],"genre_scores_gemma":[0.9985537,0.00004871195,0.0008205203,0.00002510558,0.000003648995,0.0000029056,0.0001139017,0.00002220323,0.000409207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001300637,"threshold_uncertainty_score":0.004351079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06518688884495319,"score_gpt":0.2594459594591204,"score_spread":0.1942590706141672,"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."}}