{"id":"W2988775586","doi":"10.1007/s00122-019-03485-z","title":"Genetic architecture of subspecies divergence in trace mineral accumulation and elemental correlations in the rice grain","year":2019,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Subspecies; Biology; Japonica; Genetic diversity; Trace element; Botany; Evolutionary biology; Population; Zoology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001169373,0.00007041918,0.00008936275,0.00001419859,0.00003663976,0.00001619133,0.00007368881,0.00004061779,0.00007303343],"category_scores_gemma":[0.000006124579,0.00002727364,0.00001422698,0.0001481153,0.0001204081,0.00001241647,0.00003465603,0.00009332289,0.000003063929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000400798,"about_ca_system_score_gemma":0.000001370207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001667314,"about_ca_topic_score_gemma":0.00009645275,"domain_scores_codex":[0.999496,0.00004592203,0.0001334933,0.000127842,0.00008027779,0.0001164569],"domain_scores_gemma":[0.9996284,0.0002849279,0.00002912295,0.000030063,0.000006168356,0.0000212883],"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":[0.0001219114,0.0001509132,0.1476199,0.00002205228,0.000004723021,0.000001514392,0.001194024,0.000746647,0.765206,0.06803869,0.0000306262,0.01686289],"study_design_scores_gemma":[0.0002146031,0.0001254674,0.9832758,0.00001478149,0.000006846638,0.00001057041,0.0006568721,0.001412944,0.002171742,0.01172589,0.000294975,0.00008956744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988021,0.0001523397,0.00002020301,0.0002565129,0.00002290893,0.0002420233,0.00002273618,0.000003261547,0.0004778726],"genre_scores_gemma":[0.9996618,0.0001058091,0.0001245705,0.00005131169,0.00002271555,0.000006725452,0.00001577225,4.807501e-7,0.00001083717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8356558,"threshold_uncertainty_score":0.1112187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009101826394076657,"score_gpt":0.216657252528163,"score_spread":0.2075554261340863,"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."}}