{"id":"W2743566538","doi":"10.1515/sg-2011-0026","title":"Genetic Variation and Tree Improvement of Konishii fir (<i>Cunninghamia lanceolata</i>(Lamb.) Hook. var.<i>konishii</i>) in Taiwan","year":2011,"lang":"en","type":"article","venue":"Silvae genetica/Silvae Genetica","topic":"Forest ecology and management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia","funders":"Taiwan Forestry Research Institute; National Science Council","keywords":"Cunninghamia; Heritability; Diameter at breast height; Biology; Genetic gain; Seed orchard; Tree breeding; Selection (genetic algorithm); Radiata; Animal science; Trait; Genetic variation; Botany; Vigna; Woody plant; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002834485,0.0002387431,0.0001850709,0.0005087771,0.0002499514,0.0002308536,0.0001924857,0.0001582932,0.00053597],"category_scores_gemma":[0.0001863807,0.00009643914,0.0001748827,0.0003877531,0.0001527207,0.00007098562,0.0001354823,0.0001378787,0.00009353035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004268212,"about_ca_system_score_gemma":0.0002092112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034243,"about_ca_topic_score_gemma":0.03002244,"domain_scores_codex":[0.9998615,0.00002148669,0.00001090944,0.00005454088,0.00002260442,0.00002881784],"domain_scores_gemma":[0.9998031,0.0000452841,0.00005455424,0.00001807615,0.00003070857,0.00004814762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000351473,0.0002053921,0.7167723,0.00002658806,0.000149152,0.0009714584,0.001092423,0.0005064442,0.2697132,0.0001176051,0.00006824932,0.01002569],"study_design_scores_gemma":[0.00000503631,0.0000850024,0.9979102,0.000001669318,0.0000159346,0.0001173959,0.0001666498,0.0002666291,0.001283284,0.000009329986,0.0001359436,0.00000285748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998888,0.00001013852,0.00002504329,0.000001652252,2.221079e-7,8.58436e-7,0.00001519123,0.00000117816,0.0000568167],"genre_scores_gemma":[0.9996707,0.0000142747,0.00008337868,0.000002841045,5.102546e-7,0.0000020194,0.0000953562,0.00000175034,0.000129212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01034243,"threshold_uncertainty_score":0.02056444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007644571222579154,"score_gpt":0.1872034276626803,"score_spread":0.1795588564401012,"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."}}