{"id":"W2550424410","doi":"10.1007/s00122-016-2819-7","title":"Mapping and identification of a potential candidate gene for a novel maturity locus, E10, in soybean","year":2016,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":174,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Carleton University; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Field Crop Research Alliance","keywords":"Biology; Plant biochemistry; Locus (genetics); Identification (biology); Genetics; Gene; Computational biology; Gene mapping; Biotechnology; Maturity (psychological); Candidate gene; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001390745,0.0002579577,0.0002793257,0.0005222958,0.000185666,0.0002292353,0.000385049,0.0005017981,0.001188518],"category_scores_gemma":[0.000238436,0.0002619447,0.0003923291,0.0002498518,0.0001814638,0.0001818133,0.0002750396,0.00054868,0.0005088018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002687318,"about_ca_system_score_gemma":0.0002512067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001697668,"about_ca_topic_score_gemma":0.002014031,"domain_scores_codex":[0.9999332,0.000006558362,0.000006424511,0.00002479343,0.00001295357,0.00001591594],"domain_scores_gemma":[0.9997503,0.00007963371,0.00004416709,0.00001298645,0.00002064861,0.00009218575],"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":[0.0001993751,0.00004623907,0.002112606,0.00002486865,0.000004720912,0.0002504349,0.00004536246,0.00007878437,0.9956374,0.0001007048,0.00001770032,0.001481819],"study_design_scores_gemma":[0.0002886154,0.001092764,0.3449347,0.00004021516,0.0001257323,0.003487692,0.0007132748,0.005448627,0.6361832,0.0008781977,0.006747321,0.00005969187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952136,0.0001615341,0.003695299,0.00005723429,0.00001080429,0.00001497863,0.0003040553,0.00002817924,0.0005143024],"genre_scores_gemma":[0.9895118,0.0001782475,0.005558367,0.00007407749,0.000007402986,0.00002251319,0.001969084,0.0000250783,0.002653404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001697668,"threshold_uncertainty_score":0.003975987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009520771675868492,"score_gpt":0.2051598544594817,"score_spread":0.1956390827836132,"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."}}