{"id":"W2359739031","doi":"","title":"Analysis on Genetic Diversity of Soybean Germplasm Resources in Guizhou Province by SSR Markers","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Germplasm; Genetic diversity; Biology; Diversity (politics); Biotechnology; Agronomy; Medicine; Environmental health; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001042485,0.00006927698,0.0001144534,0.00002376461,0.00007358934,0.000007286875,0.0001754875,0.00004852377,0.0001197515],"category_scores_gemma":[0.00001443749,0.0000298844,0.0000656815,0.0004163606,0.0000388386,0.00002019085,0.00007566261,0.00004050486,0.000006373428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001308818,"about_ca_system_score_gemma":0.000002397822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163792,"about_ca_topic_score_gemma":0.001514037,"domain_scores_codex":[0.9993743,0.00004559288,0.0001308003,0.0001825492,0.000141684,0.0001250752],"domain_scores_gemma":[0.9997748,0.00003342046,0.00007930497,0.00005057357,0.00002486837,0.00003704544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006218347,0.00008774645,0.9571361,0.000002139317,0.00003666089,0.000001332412,0.0003981348,0.000006521064,0.03854648,0.00001228898,0.00008873226,0.003621691],"study_design_scores_gemma":[0.00008545105,0.0001496995,0.9962527,0.00000446113,0.00002993385,7.987468e-8,0.0003691204,0.00009692619,0.002698113,0.0000911453,0.000147513,0.00007486202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974531,0.00003071472,0.000001949121,0.00004771205,0.00001629774,0.00009113552,0.00002089938,0.00001154011,0.002326637],"genre_scores_gemma":[0.9995956,0.000006840227,0.00006486073,0.00004935017,0.00001349973,0.000001572051,0.00001024183,4.047728e-7,0.000257611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0391166,"threshold_uncertainty_score":0.2476056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732454568356289,"score_gpt":0.1860538730269142,"score_spread":0.1687293273433513,"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."}}