{"id":"W2374420712","doi":"","title":"Breeding and Application of New Hybrid Rice Combination Jinyou T36 with High Yield and Good Quality","year":2008,"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; Quality (philosophy); 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":[0.0001754009,0.0004803533,0.0005710737,0.0003954202,0.0002510407,0.0001981143,0.0003389494,0.0003188876,0.00166291],"category_scores_gemma":[0.00009550557,0.0003118273,0.0005475669,0.0004118459,0.0001758287,0.000187631,0.0003553712,0.0005564388,0.0003381465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129361,"about_ca_system_score_gemma":0.0003216548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013235,"about_ca_topic_score_gemma":0.001838758,"domain_scores_codex":[0.9998981,0.00001068041,0.000015652,0.00003911118,0.00001945944,0.00001711443],"domain_scores_gemma":[0.9999121,0.00001186962,0.00001441876,0.0000120633,0.00001094452,0.00003851939],"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":[0.00006300752,0.00001011952,0.0001360148,0.00002000167,0.000005383922,0.00004447165,0.00001148046,0.0000216802,0.9987915,0.0000333397,0.00001376872,0.0008493038],"study_design_scores_gemma":[0.0002337574,0.0006802148,0.01420845,0.000009170267,0.0003558658,0.001959254,0.00012575,0.001277116,0.9719661,0.000135589,0.009019287,0.00002946825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826931,0.0006791959,0.01447255,0.0001250763,0.00004483958,0.00008723655,0.0004159635,0.0001815503,0.00130048],"genre_scores_gemma":[0.9674788,0.0007258318,0.02373022,0.00008930068,0.00001801004,0.00008574901,0.00177224,0.0001337431,0.005966105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00166291,"threshold_uncertainty_score":0.005562961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040686166380419,"score_gpt":0.2607806782140328,"score_spread":0.2200945118336138,"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."}}