{"id":"W2385439283","doi":"","title":"Hybrid Rice Combination Qiyou894 with High Yielding and Chilling Tolerance","year":2011,"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":"Horticulture; Agronomy; Mathematics; Environmental science; Biology","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":[0.0001702749,0.0005595536,0.0005676023,0.0006485176,0.0003360747,0.0002131585,0.0004754055,0.0002954578,0.00459822],"category_scores_gemma":[0.0001034416,0.0002991742,0.0003385446,0.0005658824,0.0002226381,0.0001521026,0.0005197169,0.0005867939,0.0008255788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000428621,"about_ca_system_score_gemma":0.0004373601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581633,"about_ca_topic_score_gemma":0.002971033,"domain_scores_codex":[0.9998168,0.00002679446,0.0000216578,0.00005030022,0.00004447364,0.00003996257],"domain_scores_gemma":[0.9998277,0.00002081251,0.00003216309,0.00002231045,0.00001816007,0.00007886465],"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":[0.0004663111,0.0000409647,0.0003203907,0.00002203814,0.00001369331,0.00009023866,0.00001606002,0.00003071379,0.9976792,0.00006920626,0.00006563143,0.001185522],"study_design_scores_gemma":[0.0004636684,0.001336154,0.04024605,0.000009690757,0.0003050167,0.00263039,0.0001224472,0.00116556,0.9413981,0.0001738992,0.01209248,0.00005656913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934204,0.0002259961,0.003166128,0.00008400292,0.00002166972,0.00004563068,0.001089693,0.00020337,0.00174306],"genre_scores_gemma":[0.9784253,0.0001878475,0.005881018,0.00008958144,0.00001215831,0.0001039393,0.003491562,0.0002685244,0.01153998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00459822,"threshold_uncertainty_score":0.01538259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664862088076452,"score_gpt":0.2084854672999583,"score_spread":0.1818368464191938,"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."}}