{"id":"W3042505508","doi":"10.2478/sg-2020-0009","title":"Marker-assisted selection in <i>C. oleifera</i> hybrid population","year":2020,"lang":"en","type":"article","venue":"Silvae genetica/Silvae Genetica","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Heterosis; Camellia oleifera; Diallel cross; Heritability; Mating design; Selection (genetic algorithm); Genetic diversity; Population; Mating; Genetic gain; Biotechnology; Horticulture; Genetics; Genetic variation; Hybrid; Gene; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000201196,0.0004900533,0.0004205104,0.0001521812,0.0002043655,0.00009886984,0.0004831691,0.0003725818,0.0003381954],"category_scores_gemma":[0.000171267,0.0005587601,0.0002161224,0.0005501663,0.000123828,0.00001198304,0.0002736189,0.0002971379,0.0001418648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004719124,"about_ca_system_score_gemma":0.0001179976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001326459,"about_ca_topic_score_gemma":0.0002438087,"domain_scores_codex":[0.996721,0.0002781546,0.0006757886,0.001132232,0.000484919,0.0007079392],"domain_scores_gemma":[0.9987673,0.00002297104,0.0001942677,0.0004475711,0.0001622345,0.0004056647],"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":[0.0006367494,0.0001742294,0.302775,0.00009697423,0.0001412275,0.00002457084,0.0001843776,0.007747042,0.6594431,0.000101651,0.008481869,0.02019325],"study_design_scores_gemma":[0.001793532,0.0006135599,0.8642506,0.00002235031,0.00009345304,0.000059313,0.00007435473,0.00170508,0.1007537,0.0003364643,0.02945565,0.0008418951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931201,0.0008756322,0.001925474,0.001088989,0.0003004,0.0006384662,0.0000814369,0.00007657033,0.00189288],"genre_scores_gemma":[0.9879546,0.0002894443,0.008336966,0.001963699,0.0006250991,0.00003401299,0.0004343492,0.00007269159,0.0002891202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5614756,"threshold_uncertainty_score":0.9996864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194741728203667,"score_gpt":0.2219988024452039,"score_spread":0.2100513851631672,"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."}}