{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007596902,0.000427303,0.0003540928,0.0003412435,0.0001096327,0.0001496436,0.0003347405,0.0004513553,0.00001671],"category_scores_gemma":[0.0001708023,0.000430557,0.0001908647,0.0006147759,0.0001163526,0.00001978936,0.0002087867,0.0003377452,0.00004156881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345162,"about_ca_system_score_gemma":0.0001260068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002778191,"about_ca_topic_score_gemma":0.0001778732,"domain_scores_codex":[0.9970251,0.0001534125,0.0004649326,0.001286317,0.0002997979,0.0007704729],"domain_scores_gemma":[0.9993523,0.00003094323,0.0001031943,0.0002907471,0.0000892495,0.0001335213],"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":[0.0001471755,0.00008717096,0.002253451,0.0000936767,0.0001637067,0.0003267855,0.00004593124,0.00004353431,0.9827036,0.0009921903,0.002513138,0.0106296],"study_design_scores_gemma":[0.0008263916,0.001114559,0.008911248,0.0005099925,0.0001096972,0.002901193,0.00004081243,0.004084336,0.7345177,0.0001818521,0.2456323,0.001169956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98744,0.004216737,0.002986722,0.0002837131,0.0007821598,0.0005380491,0.00006817109,0.0001855398,0.00349889],"genre_scores_gemma":[0.9959884,0.000263846,0.001359213,0.00009880505,0.000585984,0.00009503266,0.000879797,0.00007878841,0.000650099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.248186,"threshold_uncertainty_score":0.9998146,"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."}}