{"id":"W2100830022","doi":"10.3390/f4030575","title":"Genetic Improvement of White Spruce Mechanical Wood Traits—Early Screening by Means of Acoustic Velocity","year":2013,"lang":"en","type":"article","venue":"Forests","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Heritability; Tree breeding; Trait; Context (archaeology); Biology; Particle velocity; Selection (genetic algorithm); Diameter at breast height; Genetic gain; Environmental science; Acoustics; Botany; Genetic variation; Woody plant; Evolutionary biology; Physics; Computer science; Gene; 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":[0.00004043934,0.0001349885,0.0001962743,0.00003912036,0.00003052782,0.00001038156,0.0001227815,0.0000661135,0.0001273643],"category_scores_gemma":[0.000008969779,0.000113691,0.00006161458,0.00007882255,0.00002693865,0.00008759816,0.0000379522,0.00007161081,0.00001549266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001786068,"about_ca_system_score_gemma":0.00000754492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001575677,"about_ca_topic_score_gemma":0.0001963835,"domain_scores_codex":[0.9992605,0.000008954685,0.00024799,0.0001112231,0.0001645813,0.0002066782],"domain_scores_gemma":[0.9996995,0.00001968644,0.00004153187,0.0001365484,0.00004166874,0.00006108445],"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":[0.0000721601,0.0002850238,0.03459808,0.0007959366,0.001066438,0.000006574346,0.003318152,0.02836501,0.8000617,0.0001344863,0.004861668,0.1264348],"study_design_scores_gemma":[0.002157864,0.001649851,0.4712099,0.0002388285,0.0002615543,0.000004185327,0.0001722526,0.1262345,0.3963194,0.0009559617,0.000167494,0.0006281862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987803,0.0003617841,0.01118718,0.00001959565,0.00005875417,0.0002552724,0.00002643708,0.00006423158,0.0002236863],"genre_scores_gemma":[0.996204,0.00001271357,0.003575851,0.00000567777,0.00002581277,0.00003569994,0.000005320319,0.00002660464,0.0001082863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4366119,"threshold_uncertainty_score":0.4636184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00851144186135803,"score_gpt":0.183206475061395,"score_spread":0.174695033200037,"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."}}