{"id":"W2387241004","doi":"","title":"Breeding and Application of New Hybrid Rice Combination Jinyou 57 with Good Quality and High Yield","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; Mathematics; Materials science","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":[0.0001260553,0.00004286107,0.000078967,0.00000668238,0.0001078561,0.00001070367,0.00004585214,0.0000243652,0.000005171134],"category_scores_gemma":[0.00002032694,0.00001516031,0.000008739678,0.0001274822,0.00005587323,0.00006492247,0.00002335799,0.0000448393,0.000001444692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004713162,"about_ca_system_score_gemma":0.000005098938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003637706,"about_ca_topic_score_gemma":0.0001575395,"domain_scores_codex":[0.9995624,0.00001816023,0.00007916238,0.000119777,0.0001350442,0.0000854968],"domain_scores_gemma":[0.9997275,0.0001053594,0.00004551383,0.00002198788,0.000044313,0.00005535219],"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":[0.0000346364,0.00005127057,0.1437044,0.00001699425,0.000006369335,8.258032e-7,0.0001159099,4.52136e-7,0.8363287,0.001188123,0.00003875576,0.01851355],"study_design_scores_gemma":[0.0001477064,0.000208432,0.9925447,0.000006143644,0.00000294177,0.00001034226,0.0001176936,0.00005088261,0.006405246,0.000391103,0.00006933793,0.00004551368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979306,0.00007515666,0.00004809176,0.001325941,0.000006866152,0.0001096351,0.000004075927,0.00001375604,0.0004858805],"genre_scores_gemma":[0.9995295,0.00007552335,0.00006164044,0.00002504688,0.00003589974,0.000002312514,0.0000113,3.148841e-7,0.0002584072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8488403,"threshold_uncertainty_score":0.5499148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04927821973810344,"score_gpt":0.2679466340965456,"score_spread":0.2186684143584421,"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."}}