{"id":"W2354681381","doi":"","title":"The Development of Seed Purity Identficaiton Techniques on Hybrid Rice and Hybrid Maize","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agronomy; Hybrid seed; Biology; Hybrid","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":[0.0004211345,0.0004697695,0.0002934044,0.0004649232,0.0002772281,0.0003120798,0.0005059945,0.0002904454,0.001516145],"category_scores_gemma":[0.0003617192,0.0003247385,0.0003903547,0.0003074047,0.0003453931,0.0003367102,0.000494468,0.0008452305,0.0007225189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003423535,"about_ca_system_score_gemma":0.0003235059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002003229,"about_ca_topic_score_gemma":0.003756391,"domain_scores_codex":[0.9997889,0.0000402069,0.00001621461,0.00005534105,0.00005271361,0.00004658193],"domain_scores_gemma":[0.9995089,0.0001956618,0.0000863519,0.00008535857,0.0000682832,0.00005545898],"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":[0.00001729731,0.000007301859,0.00005881048,0.00001003952,0.000001240464,0.000009129221,0.00001190128,0.00002144029,0.998752,0.0000700948,0.000007482485,0.001033273],"study_design_scores_gemma":[0.00000349155,0.00004838579,0.0009038631,0.000001389661,0.00001015918,0.00005146094,0.00001090167,0.0003850141,0.9979078,0.00001876039,0.0006564919,0.000002524777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8417351,0.0009807969,0.1515318,0.0001532674,0.00004031019,0.0002667047,0.0004674631,0.000546649,0.004277802],"genre_scores_gemma":[0.8565602,0.001388231,0.1294596,0.0001209215,0.00002774449,0.0002370322,0.001940519,0.0004398498,0.009825864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002003229,"threshold_uncertainty_score":0.005071998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239836154677036,"score_gpt":0.2237983723972062,"score_spread":0.1998147569295026,"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."}}