{"id":"W2142645068","doi":"10.1515/sg-2005-0033","title":"Heritability and Correlations for Biomass Production and Allocation in White Spruce Seedlings","year":2005,"lang":"en","type":"article","venue":"Silvae genetica/Silvae Genetica","topic":"Forest ecology and management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"University of Alberta","keywords":"Heritability; Biology; Biomass (ecology); Open pollination; Shoot; Dry weight; Biomass partitioning; Genetic correlation; Botany; Trait; Horticulture; Agronomy; Genetic variation; Pollen","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":[],"consensus_categories":[],"category_scores_codex":[0.000473024,0.0001969406,0.0001721512,0.0000778245,0.0002106446,0.00003554794,0.0001320218,0.000137792,0.0001791159],"category_scores_gemma":[0.0001413677,0.0002088402,0.00003237248,0.0002280308,0.0004889754,0.0001419925,0.000197285,0.0001026595,0.00007779348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098972,"about_ca_system_score_gemma":0.00001527096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007058749,"about_ca_topic_score_gemma":0.003935688,"domain_scores_codex":[0.9983329,0.00006836107,0.0003493755,0.0006980478,0.0001588333,0.0003925235],"domain_scores_gemma":[0.9993824,0.00005588307,0.00007862803,0.0003336098,0.00002091952,0.0001284951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001097026,0.0003753858,0.9239387,0.00008615952,0.00003450997,0.000001516847,0.001512976,0.01182799,0.02260431,0.001647201,0.00185329,0.03600828],"study_design_scores_gemma":[0.0004563514,0.0001645499,0.9768146,0.00001065241,0.00004332986,0.000007900144,0.0001235914,0.008203425,0.002048422,0.003656239,0.008215149,0.0002557881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880377,0.0004584019,0.003192906,0.005304232,0.0001865145,0.001252325,0.000006977737,0.00004479139,0.001516144],"genre_scores_gemma":[0.9758831,0.0001674456,0.02287813,0.0002316113,0.00008140227,0.0002142799,0.0000128186,0.0000203499,0.0005108918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05287593,"threshold_uncertainty_score":0.8516254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007395611017702676,"score_gpt":0.2178837719733133,"score_spread":0.2104881609556106,"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."}}