{"id":"W1986880067","doi":"10.1139/x08-133","title":"Genetic parameter estimates for growth traits of black spruce in northwestern Ontario","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Ontario Forest Research Institute","funders":"Ministry of Natural Resources; Northwestern University","keywords":"Heritability; Black spruce; Genetic correlation; Biology; Selection (genetic algorithm); Diameter at breast height; Tree breeding; Trait; Picea abies; Genetic gain; Genetic variability; Genetic variation; Statistics; Demography; Animal science; Ecology; Mathematics; Genotype; Woody plant; Taiga; Evolutionary biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0006448071,0.000309318,0.000256385,0.0009084736,0.0009405621,0.0004341206,0.0003688491,0.0001436707,0.0009612257],"category_scores_gemma":[0.00143576,0.0001994403,0.0003106309,0.0007339889,0.0004449202,0.0001671385,0.0003262615,0.000193316,0.0001344313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00707474,"about_ca_system_score_gemma":0.002962002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8854048,"about_ca_topic_score_gemma":0.965512,"domain_scores_codex":[0.9996568,0.00003327376,0.00001731428,0.0000954861,0.0001369352,0.00006018203],"domain_scores_gemma":[0.9989336,0.0002872362,0.0002301269,0.000087443,0.0003638629,0.00009763339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009742745,0.00001611205,0.9643466,0.00003668476,0.00007851214,0.000197633,0.002040082,0.003476514,0.01459534,0.0002734808,0.0003056065,0.01453604],"study_design_scores_gemma":[0.000003880433,0.000007944216,0.9979522,0.000004142542,0.00001485155,0.00003717403,0.0001889667,0.0008433094,0.0003066542,0.00005132683,0.0005818438,0.000007697405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985416,0.00004960791,0.0003742163,0.000009656266,6.321592e-7,0.000006015426,0.0005671781,0.000007525437,0.000443537],"genre_scores_gemma":[0.997141,0.00006864152,0.0007025554,0.00000465944,9.106098e-7,0.00001200997,0.001140722,0.000008921531,0.0009205517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1145952,"threshold_uncertainty_score":0.2305402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03929396581251658,"score_gpt":0.2705444976546775,"score_spread":0.2312505318421609,"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."}}