{"id":"W4226226318","doi":"10.5376/mpb.2022.13.0012","title":"Study on the Genetic Relationship of Pepper Based on Fruit Traits and Molecular Markers","year":2022,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Qinghai University; National Natural Science Foundation of China; Lanzhou University","keywords":"Germplasm; Pepper; Biology; Genetic diversity; Quantitative trait locus; Biotechnology; Selection (genetic algorithm); Plant breeding; Genetic variation; Heritability; Agronomy; Horticulture; Evolutionary biology; Genetics; Gene; Population; Demography","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":[0.0003523174,0.000154387,0.0001312322,0.0000857601,0.0002894397,0.00002422082,0.0002182745,0.00004832401,0.0000354712],"category_scores_gemma":[0.00008564303,0.0001303823,0.00007647091,0.0001021795,0.00004344183,0.00000113196,0.0001350264,0.0001556405,0.000001771409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009009029,"about_ca_system_score_gemma":0.00003016831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000125278,"about_ca_topic_score_gemma":0.000001225677,"domain_scores_codex":[0.9987906,0.0001889217,0.0001657188,0.0003286522,0.0003373168,0.0001888002],"domain_scores_gemma":[0.9995826,0.00006693453,0.00008218233,0.0001884346,0.00002296859,0.00005686618],"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":[0.0004508992,0.0004323306,0.03511363,0.00002742091,0.0001690142,0.0002214041,0.0004377854,0.01179597,0.9466062,0.001203562,0.002888198,0.0006535738],"study_design_scores_gemma":[0.007444233,0.02109078,0.7227785,0.0002248204,0.0005791033,0.0003124212,0.01672597,0.007192494,0.2036914,0.0005280086,0.01724198,0.002190299],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956713,0.0001085922,0.0003543325,0.0004035818,0.00004874293,0.0003154831,0.000132111,0.000008347482,0.002957504],"genre_scores_gemma":[0.9987867,0.000003537973,0.000126948,0.0008919869,0.00001896533,0.00002550381,0.00004185859,0.00001429253,0.00009015597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7429149,"threshold_uncertainty_score":0.5316836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02694815768231689,"score_gpt":0.2193511084551163,"score_spread":0.1924029507727994,"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."}}