{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001235239,0.0000451015,0.00006771633,0.000005443881,0.00007535527,0.00002065997,0.0001040381,0.00006989202,0.00008928468],"category_scores_gemma":[0.00003949276,0.00001531712,0.00002105825,0.0001627109,0.000040531,0.00005737512,0.00004421169,0.0001129705,0.00001419232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002211186,"about_ca_system_score_gemma":0.000005530232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004015371,"about_ca_topic_score_gemma":0.0005945641,"domain_scores_codex":[0.9995592,0.000007402743,0.00007349037,0.0001243073,0.0001146565,0.0001209224],"domain_scores_gemma":[0.9997136,0.0001150765,0.00002247987,0.00003272462,0.00003867651,0.00007742985],"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":[0.000004914647,0.00001424941,0.016171,0.000003851752,0.000002398477,1.352794e-7,0.00004078964,1.283476e-7,0.967905,0.0007623984,0.0001009931,0.01499408],"study_design_scores_gemma":[0.00005367704,0.00006324689,0.9845408,0.000002791529,0.000003366533,0.000002279114,0.00009536993,0.00005928026,0.01320464,0.0006138244,0.00131243,0.00004830553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969517,0.00002605935,0.00001958974,0.001891651,0.00004916963,0.00008428108,0.000004214744,0.00001737674,0.0009559779],"genre_scores_gemma":[0.9990318,0.0000185292,0.0001528302,0.00003991358,0.0002120094,0.000002353676,0.000007443643,3.604514e-7,0.0005347063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9683698,"threshold_uncertainty_score":0.6070067,"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."}}