{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843379,0.0002009229,0.0002628814,0.001342029,0.0009645669,0.001999239,0.0007271002,0.0003380049,0.001643186],"category_scores_gemma":[0.001391805,0.0001430318,0.0002296415,0.00136898,0.001043548,0.002246266,0.0009703976,0.0008723431,0.0003189909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006544458,"about_ca_system_score_gemma":0.001396622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404223,"about_ca_topic_score_gemma":0.006700778,"domain_scores_codex":[0.9994091,0.0001905383,0.00003582044,0.0001284113,0.0001872,0.0000489968],"domain_scores_gemma":[0.9988193,0.0003234619,0.000296466,0.0002907169,0.0001343871,0.0001355749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001183131,0.0001248692,0.07415893,0.0004995724,0.00009956004,0.0004661275,0.002620736,0.00253229,0.2466661,0.03425837,0.00189516,0.63656],"study_design_scores_gemma":[0.00003705354,0.0006791669,0.352007,0.0009054626,0.0003133671,0.005298117,0.009712625,0.01270077,0.2310777,0.1092392,0.2777919,0.0002376395],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6546785,0.01064283,0.2879292,0.006035397,0.0003009611,0.00017998,0.001439389,0.0003569961,0.03843682],"genre_scores_gemma":[0.8120329,0.006276576,0.1714299,0.0005849653,0.0001784767,0.00009544298,0.000851081,0.0001181929,0.008432442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001999239,"threshold_uncertainty_score":0.009748816,"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."}}