{"id":"W4409971416","doi":"10.5376/pgt.2024.15.0013","title":"Genetic Treasure: Conservation, Analysis, and Innovative Utilization of Tree Genetic Resources","year":2024,"lang":"en","type":"article","venue":"Plant Gene and Trait","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treasure; Genetic resources; Genetic analysis; Tree (set theory); Conservation genetics; Agroforestry; Evolutionary biology; Biology; Geography; Biotechnology; Genetics; Mathematics; Archaeology; Gene; Microsatellite","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":[0.0000647199,0.0001065345,0.000137301,0.0001069045,0.00005003366,0.00003170533,0.00003838925,0.00009430131,0.000006070232],"category_scores_gemma":[0.00001364424,0.00008559145,0.00003079497,0.0003305666,0.0000637968,0.000004231625,0.00001643169,0.00003323938,6.104569e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002619692,"about_ca_system_score_gemma":0.00004358815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001396127,"about_ca_topic_score_gemma":0.001385888,"domain_scores_codex":[0.9993689,0.00003342686,0.0001864517,0.0002461035,0.0000779669,0.000087145],"domain_scores_gemma":[0.9997549,0.0000130223,0.00004528288,0.00008274459,0.00006792908,0.00003610086],"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":[0.00004412191,0.00002576855,0.02763045,0.00007792352,0.0006742334,0.00001221519,0.0004685117,0.00005577402,0.9507741,0.0001558493,0.002426287,0.01765478],"study_design_scores_gemma":[0.0004224432,0.0002137635,0.5187039,0.00003814535,0.0006922978,0.0001791277,0.00008608944,0.002630501,0.4179543,0.0000968324,0.05868913,0.0002934582],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752977,0.02033331,0.003707848,0.0001298732,0.00003411619,0.0000919214,0.0002350672,0.00001040438,0.0001597179],"genre_scores_gemma":[0.9957926,0.00207572,0.0007945004,0.00007018098,0.0001105819,0.000007693083,0.0007983215,0.000007661542,0.0003427282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5328198,"threshold_uncertainty_score":0.3490318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663050532011338,"score_gpt":0.2318894820264568,"score_spread":0.2152589767063434,"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."}}