{"id":"W2288879807","doi":"10.1093/forestscience/49.6.901","title":"Selection for Both Growth and Wood Properties in Hybrid Poplar Clones","year":2003,"lang":"en","type":"article","venue":"Forest Science","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Service de Recherche et d'EXpertise en Transformation des Produits Forestiers; Intertek (Canada)","funders":"","keywords":"Biology; Tree breeding; Genetic gain; Selection (genetic algorithm); Hybrid; Woody plant; Heritability; Fiber; Horticulture; Botany; Clonal selection; Water content; Agronomy; Genetic variation; Gene; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001167899,0.00007262192,0.00006502025,0.00009046373,0.0001120904,0.00005730444,0.000058726,0.00001338419,0.00000179428],"category_scores_gemma":[0.00004727581,0.00005440739,0.00001007821,0.0001940775,0.00009432588,0.0003254614,0.000007071606,0.00003163158,0.000002493144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002523767,"about_ca_system_score_gemma":0.00002391204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003225011,"about_ca_topic_score_gemma":0.0001042037,"domain_scores_codex":[0.999523,0.000005290816,0.00007067653,0.0001236554,0.00007980146,0.0001975378],"domain_scores_gemma":[0.9998888,0.000009456415,0.000007337774,0.00004669949,0.0000158494,0.00003189719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001187132,0.0002586233,0.6662773,0.0007645079,0.00005509779,0.00001098951,0.004670433,0.04290293,0.1707773,0.1093728,0.0007496222,0.004041715],"study_design_scores_gemma":[0.00158341,0.0006272021,0.02750729,0.0001571111,0.00002583702,0.00008615496,0.000264382,0.1567306,0.7929431,0.01740145,0.001957739,0.0007157471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978301,0.0004908568,0.0005488546,0.00002534739,0.0001130586,0.0001789185,0.00000121465,0.00006693965,0.0007447288],"genre_scores_gemma":[0.9990181,0.00003875244,0.0007941722,0.000008195611,0.00001312865,0.000047172,5.394467e-7,0.000007986698,0.00007198461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.63877,"threshold_uncertainty_score":0.2218669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264706125023556,"score_gpt":0.1883061338248744,"score_spread":0.1756590725746389,"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."}}