{"id":"W2766011945","doi":"10.1515/sg-2006-0029","title":"Genetic Variation and Correlations between Growth and Wood Density of Calycophyllum spruceanum at an Early Age in the Peruvian Amazon","year":2006,"lang":"en","type":"article","venue":"Silvae genetica/Silvae Genetica","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Université Laval; Canadian Forest Service; Kruger (Canada)","funders":"Canadian Forest Service; U.S. Forest Service; Consortium of International Agricultural Research Centers; World Agroforestry Centre; Université Laval; Department for International Development; United States Agency for International Development","keywords":"Heritability; Biology; Genetic variation; Diameter at breast height; Amazon rainforest; Sowing; Provenance; Amazon basin; Juvenile; Tree breeding; Horticulture; Botany; Forestry; Woody plant; Ecology; Geography; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001652933,0.0003553795,0.0003756896,0.0001901774,0.000185449,0.00009817984,0.0002222126,0.0002069993,0.00002027923],"category_scores_gemma":[0.0000186143,0.0003024593,0.00006237059,0.0003099105,0.0002528652,0.0000924216,0.00009012115,0.0001923864,0.00001579973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004366567,"about_ca_system_score_gemma":0.00002130317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007541874,"about_ca_topic_score_gemma":0.001446511,"domain_scores_codex":[0.9981037,0.000183772,0.0005162386,0.000432627,0.0003104017,0.0004532147],"domain_scores_gemma":[0.9991465,0.0001381599,0.00007396998,0.0004592543,0.00005068928,0.000131441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002685611,0.00008585758,0.9575638,0.00009568381,0.00007956407,0.00002377252,0.003667046,0.001413623,0.03502364,0.0002200458,0.00004141847,0.001758734],"study_design_scores_gemma":[0.0006807333,0.0003189387,0.9872342,0.00002134702,0.0001966567,0.00001353632,0.00008088043,0.001585233,0.007999158,0.001485828,0.00005199261,0.000331458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948313,0.002908944,0.0004128184,0.00009779771,0.00009851134,0.000588242,0.00003808179,0.00007794171,0.0009463274],"genre_scores_gemma":[0.9959227,0.0003193873,0.003326588,0.00001982645,0.0002043843,0.00004118804,0.0000451776,0.00005546957,0.00006529601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02967048,"threshold_uncertainty_score":0.9999428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007695310111993945,"score_gpt":0.1774895308579469,"score_spread":0.1697942207459529,"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."}}