{"id":"W4225916737","doi":"10.22215/etd/2022-14835","title":"A Functional Genomics Approach to Identifying Potential Candidates Underlying the E7 Maturity Locus in Soybean (Glycine max)","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Locus (genetics); Functional genomics; Glycine; Biology; Gene; Genomics; Genetics; Maturity (psychological); photoperiodism; Computational biology; Amino acid; Genome; Horticulture; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003125917,0.0005103959,0.0003764546,0.0006883378,0.0005054443,0.00043538,0.0002505025,0.0003553241,0.001727365],"category_scores_gemma":[0.0002791795,0.0001980786,0.0007958531,0.0004583937,0.0001850822,0.0002181618,0.0003232065,0.0007206492,0.0004376583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005939776,"about_ca_system_score_gemma":0.0007910938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004002834,"about_ca_topic_score_gemma":0.008009027,"domain_scores_codex":[0.9999223,0.00001220556,0.000004162371,0.00003432489,0.0000155626,0.00001136646],"domain_scores_gemma":[0.9999171,0.00003681528,0.000009352264,0.000003275148,0.00001561121,0.00001782466],"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":[0.0008041462,0.0003511817,0.008911722,0.0003227488,0.00007703458,0.0006925843,0.0002323044,0.01029169,0.9434723,0.002340005,0.0008249017,0.03167933],"study_design_scores_gemma":[0.0005163609,0.002698526,0.1842964,0.0001456132,0.0009869062,0.001862407,0.001616858,0.3340007,0.4314525,0.01015871,0.03210534,0.0001598642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917478,0.000752884,0.06818361,0.0004911161,0.0000281309,0.0002196405,0.006715191,0.0005613762,0.005570139],"genre_scores_gemma":[0.8281007,0.001033465,0.13943,0.000314791,0.00001527408,0.0001895326,0.0254125,0.0001000483,0.00540368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004002834,"threshold_uncertainty_score":0.007959068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053220558471304,"score_gpt":0.2521479646106111,"score_spread":0.2116157590258981,"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."}}