{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009606509,0.00005201477,0.00006315603,0.000006431562,0.0001480847,0.00002622521,0.00007110144,0.00002024572,0.00004030843],"category_scores_gemma":[0.000008739163,0.00001627107,0.00001102401,0.0001032777,0.0000307806,0.00008429082,0.00002199685,0.00006699294,0.000009858711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004901581,"about_ca_system_score_gemma":0.000002108482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000614238,"about_ca_topic_score_gemma":0.00005944677,"domain_scores_codex":[0.9995435,0.0000188575,0.00005348647,0.0001332289,0.0001068427,0.0001440534],"domain_scores_gemma":[0.9998292,0.00004347801,0.00002291651,0.00002104992,0.0000352828,0.00004809831],"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":[0.0001280729,0.000192866,0.09733298,0.00002945574,0.00002298969,0.00002898561,0.0006908025,0.000004066102,0.8663659,0.002168533,0.00005741476,0.03297794],"study_design_scores_gemma":[0.0001103611,0.0001725748,0.9903029,0.00001598972,0.000002843492,0.000008221121,0.0001134061,0.0001004765,0.008518151,0.0005223752,0.00006553176,0.00006720059],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997269,0.00007632477,0.000007985506,0.0003191174,0.00004119029,0.00007917039,0.000002370806,0.00002910984,0.002175673],"genre_scores_gemma":[0.9995252,0.00004259467,0.0001409936,0.00004732849,0.00005045943,0.000003292235,0.000006560204,4.254975e-7,0.0001831282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8929699,"threshold_uncertainty_score":0.1138963,"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."}}