{"id":"W2384755309","doi":"","title":"Breeding of New Rice Variety Xiangyu No.3","year":2007,"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":"Variety (cybernetics); New Variety; Biology; Agronomy; Mathematics; Cultivar; Statistics","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":[0.0002848301,0.0005056662,0.000535524,0.0005433912,0.0003889418,0.00024593,0.0004728957,0.0003136592,0.002143561],"category_scores_gemma":[0.00009836233,0.0002897948,0.0006904026,0.0003777241,0.0001852975,0.0001842021,0.00043787,0.0007465954,0.0003483292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003374208,"about_ca_system_score_gemma":0.0004441064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606159,"about_ca_topic_score_gemma":0.004044931,"domain_scores_codex":[0.9998907,0.0000108118,0.00001217889,0.00004097661,0.00002621922,0.00001908122],"domain_scores_gemma":[0.9998968,0.00001344193,0.00001217402,0.00001270159,0.00001363023,0.00005134084],"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":[0.0001293638,0.00004935557,0.001043976,0.0000572456,0.00001661938,0.000293971,0.00008562022,0.0001001087,0.9935011,0.0002114982,0.0001055146,0.004405587],"study_design_scores_gemma":[0.001596247,0.003120195,0.2340246,0.00008059903,0.0009042546,0.006691262,0.0008249398,0.008871954,0.6851425,0.0008757435,0.05772223,0.0001455022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986689,0.0002735446,0.009168324,0.0001160212,0.00004550121,0.0001380578,0.0006196568,0.0001960873,0.002753819],"genre_scores_gemma":[0.9521409,0.0005607153,0.02656559,0.0001929004,0.00003020734,0.0002068935,0.005528339,0.0002015376,0.01457287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002143561,"threshold_uncertainty_score":0.007170916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353396613501335,"score_gpt":0.2670679803164051,"score_spread":0.2317283189662716,"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."}}