{"id":"W4402072701","doi":"10.5376/mpb.2024.15.0019","title":"Marker-Assisted Selection in <i>Camellia</i> Breeding Programs","year":2024,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Selection (genetic algorithm); Marker-assisted selection; Genetics; Genetic marker; Molecular breeding; Microsatellite; Biotechnology; Gene; Allele; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003290198,0.000640693,0.0007826179,0.001462969,0.0006385962,0.00128628,0.001241764,0.0006186085,0.004244857],"category_scores_gemma":[0.001176279,0.0003262525,0.001024984,0.001133872,0.0003656219,0.0006734684,0.001053657,0.0009393763,0.001976129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008986493,"about_ca_system_score_gemma":0.0006971177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440387,"about_ca_topic_score_gemma":0.002221554,"domain_scores_codex":[0.998675,0.0003624158,0.0001681675,0.0003178307,0.000318528,0.0001579149],"domain_scores_gemma":[0.9993039,0.000114961,0.000175559,0.0001444781,0.0001282796,0.0001326997],"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":[0.0005900068,0.0002565633,0.01099137,0.0006205406,0.0002427369,0.001194207,0.0005159216,0.001314317,0.7467948,0.00629801,0.005874648,0.2253069],"study_design_scores_gemma":[0.0004915736,0.002245034,0.08789902,0.000429478,0.001138342,0.004916906,0.0003893469,0.01335981,0.4871934,0.004022758,0.3976344,0.0002799663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.471784,0.008426958,0.4617426,0.001413643,0.0005994106,0.002340701,0.009199826,0.006577464,0.03791537],"genre_scores_gemma":[0.6833346,0.005381248,0.2728395,0.001311513,0.0003566094,0.001682171,0.0145556,0.001406306,0.01913237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004244857,"threshold_uncertainty_score":0.01740038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507733137430094,"score_gpt":0.2323476114101814,"score_spread":0.2172702800358804,"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."}}