{"id":"W2007104297","doi":"10.2135/cropsci2006.09.0605","title":"Variability among Chinese <i>Glycine soja</i> and Chinese and North American Soybean Genotypes","year":2007,"lang":"en","type":"article","venue":"Crop Science","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Germplasm; Biology; Glycine soja; Genotype; Genetic diversity; Locus (genetics); Breeding program; Microsatellite; Allele; Agronomy; Horticulture; Cultivar; Genetics; Glycine; Gene; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002371832,0.0001403553,0.0001477859,0.0006481721,0.0002636731,0.0002333961,0.0001269166,0.00009195232,0.0007034198],"category_scores_gemma":[0.0002313363,0.00007801448,0.0001921612,0.0007150845,0.0002022611,0.0001035053,0.0001826032,0.0001092189,0.0001048997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304129,"about_ca_system_score_gemma":0.0001671083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008258828,"about_ca_topic_score_gemma":0.02551427,"domain_scores_codex":[0.9998728,0.00001692137,0.00001105751,0.00005146441,0.00002542717,0.0000222793],"domain_scores_gemma":[0.9998069,0.000030207,0.00005699194,0.00002208967,0.00003501915,0.00004878081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005288884,0.00006374847,0.8203019,0.00004505131,0.0002028787,0.0002230194,0.001999569,0.0002079122,0.1623232,0.0002787146,0.0002217401,0.01360333],"study_design_scores_gemma":[0.000004726099,0.00002356582,0.9986323,0.000001689287,0.0000156846,0.00007703735,0.0001446677,0.00009743626,0.0007064883,0.00001887195,0.0002744409,0.000003186544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995883,0.00002046347,0.00004669457,0.000004003423,6.924188e-7,0.000001356762,0.00008387902,0.000002036107,0.0002525019],"genre_scores_gemma":[0.9988638,0.00003984296,0.0001815356,0.00001888558,0.000002006888,0.000007416113,0.0006139418,0.000003992849,0.0002685487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9917412,"threshold_uncertainty_score":0.0164215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007523180402426658,"score_gpt":0.2229598123373255,"score_spread":0.2154366319348989,"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."}}