{"id":"W2394152125","doi":"","title":"Breeding and Application of Super High Yield New Rice Variety Zhongyou T16","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Agronomy; Biotechnology; Mathematics; Biology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001875272,0.0004283946,0.0004560189,0.0003133307,0.0002284932,0.0001993199,0.0003562102,0.0002471386,0.001445756],"category_scores_gemma":[0.0001004714,0.0002908921,0.0004703727,0.0003674622,0.0001714249,0.0001603968,0.0004267872,0.0006287606,0.0003272306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070377,"about_ca_system_score_gemma":0.0004149859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290418,"about_ca_topic_score_gemma":0.002294537,"domain_scores_codex":[0.999896,0.00000980062,0.00001353971,0.00004213822,0.00002144034,0.00001690665],"domain_scores_gemma":[0.9999053,0.00001319655,0.00001819532,0.00001499398,0.00001125918,0.00003702328],"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":[0.0000363745,0.000006540998,0.0001133413,0.00001542492,0.000002391707,0.00002707437,0.00001207404,0.00001830346,0.999006,0.00003671364,0.000009049608,0.0007168025],"study_design_scores_gemma":[0.000186156,0.0006273306,0.01445473,0.00001119015,0.0001751117,0.0007977163,0.0001216981,0.001224671,0.9722421,0.0001650055,0.00997454,0.00001977314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875268,0.0004627412,0.00993078,0.0001030794,0.00004664381,0.00007353765,0.0003940961,0.0001179479,0.001344382],"genre_scores_gemma":[0.9699102,0.0005203026,0.01994742,0.00007279006,0.00001390847,0.00009528225,0.001624054,0.0001189944,0.007697099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001445756,"threshold_uncertainty_score":0.004836559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168667697579357,"score_gpt":0.2310603215621225,"score_spread":0.2141935518041868,"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."}}