{"id":"W2080000719","doi":"10.1007/s12284-009-9034-y","title":"Australian Oryza: Utility and Conservation","year":2009,"lang":"en","type":"article","venue":"Rice","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Oryza rufipogon; Domestication; Oryza; Biology; Oryza sativa; Gene flow; Abiotic component; Ecology; Genetic variation; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005983413,0.0001976924,0.0002149056,0.0006588331,0.0006118836,0.0006775496,0.0006040202,0.0003032392,0.01166697],"category_scores_gemma":[0.0006170612,0.00007541422,0.0001211493,0.001000872,0.0004190353,0.000456683,0.0007703478,0.000406802,0.001296848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086376,"about_ca_system_score_gemma":0.001675424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03389629,"about_ca_topic_score_gemma":0.03905351,"domain_scores_codex":[0.9997556,0.00005613165,0.00001302313,0.000047564,0.000071665,0.00005612764],"domain_scores_gemma":[0.9996201,0.00002552883,0.00009044784,0.00006253004,0.0001270113,0.00007440123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003807626,0.0001005927,0.02608896,0.0008823067,0.00003650014,0.0008953219,0.001621231,0.0002556805,0.02891963,0.01521785,0.020231,0.9053702],"study_design_scores_gemma":[0.00005616646,0.0002508961,0.3620315,0.0003068927,0.00007217978,0.002159702,0.001393673,0.001038417,0.002565743,0.006661484,0.6234387,0.00002466169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6558788,0.04475126,0.01082044,0.03413285,0.0004513146,0.0003596996,0.002550515,0.0008202593,0.2502349],"genre_scores_gemma":[0.8971924,0.009266209,0.01347029,0.001680562,0.0001162055,0.00007508356,0.0008916572,0.00006825686,0.07723928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03389629,"threshold_uncertainty_score":0.06739801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05727633768884806,"score_gpt":0.2869105341591375,"score_spread":0.2296341964702894,"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."}}