{"id":"W3125152314","doi":"10.20944/preprints201811.0069.v1","title":"Genome Based Meta-QTL Analysis of Grain Weight in Tetraploid Wheat Identifies Rare Alleles of &lt;em&gt;GRF4&lt;/em&gt; Associated with Larger Grains","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"United States Agency for International Development","keywords":"Introgression; Biology; Quantitative trait locus; Domestication; Locus (genetics); Population; Genetics; Allele; Common wheat; Gene; Chromosome","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002001928,0.0006144739,0.00198064,0.0003431367,0.0001442812,0.00004740448,0.00109756,0.0007020544,0.003587011],"category_scores_gemma":[0.0002597663,0.0002771289,0.001142349,0.001504544,0.0003540312,0.00007107357,0.0007761538,0.0004901743,0.00003184195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006103139,"about_ca_system_score_gemma":0.00007075304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003512097,"about_ca_topic_score_gemma":0.01948044,"domain_scores_codex":[0.9954612,0.0007054225,0.001164303,0.001314497,0.0007244022,0.0006301568],"domain_scores_gemma":[0.9974782,0.0003142536,0.0008574526,0.0005885311,0.0005937707,0.0001678097],"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":[0.0001336476,0.0006807455,0.4284631,0.00009035542,0.004670653,0.00002662948,0.00090626,0.0005053587,0.5642215,0.00004651447,0.00005416861,0.0002010468],"study_design_scores_gemma":[0.0003374152,0.0001741666,0.9539255,0.0000910622,0.002965625,0.000001269141,0.000159495,0.0001711927,0.04025132,0.000632292,0.0007581742,0.0005325261],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960356,0.00102059,0.00001569436,0.0003159345,0.0001855556,0.0005986541,0.000997201,0.00006251899,0.0007682003],"genre_scores_gemma":[0.9968317,0.0003892797,0.0001097218,0.00008260302,0.0001137155,0.000120723,0.001554514,0.000008876216,0.0007888347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5254624,"threshold_uncertainty_score":0.9999681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07066263419985491,"score_gpt":0.2732585207074727,"score_spread":0.2025958865076178,"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."}}