{"id":"W2119243084","doi":"10.1111/nph.12419","title":"Network analysis reveals the relationship among wood properties, gene expression levels and genotypes of natural <i><scp>P</scp>opulus trichocarpa</i> accessions","year":2013,"lang":"en","type":"article","venue":"New Phytologist","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Agilent Technologies","keywords":"Populus trichocarpa; Biology; Genetics; Phenotype; Gene; Single-nucleotide polymorphism; Phenotypic trait; Computational biology; SNP; Natural selection; Evolutionary biology; Selection (genetic algorithm); Genotype; Genome; Machine learning; Computer science","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":[0.0002745148,0.0002434489,0.0003993681,0.0001103579,0.000298007,0.00007215119,0.0004669892,0.000250723,0.00002415527],"category_scores_gemma":[0.0009421893,0.0001493189,0.00020171,0.0007402868,0.0002277301,0.00002337735,0.0003187747,0.0002065963,0.0000063998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001225932,"about_ca_system_score_gemma":0.0000736974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002051678,"about_ca_topic_score_gemma":0.0001896861,"domain_scores_codex":[0.9981503,0.0003042116,0.0004580239,0.0004946428,0.0002397854,0.0003530112],"domain_scores_gemma":[0.9984267,0.00021341,0.0003951209,0.0006845284,0.0001316953,0.0001485668],"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":[0.00001499027,0.00002520954,0.2544392,0.00000943025,0.0002427211,0.000001091971,0.00006627874,0.001022312,0.6487056,0.00001119103,0.09518746,0.0002744677],"study_design_scores_gemma":[0.0005573599,0.00007527098,0.5571445,0.00006138349,0.0006257521,0.00001012987,0.0001990018,0.0005475667,0.4359221,0.0005210169,0.004119485,0.0002164925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907194,0.0060849,0.00174475,0.0002661105,0.0001144065,0.0003280661,0.00002608775,0.00002353502,0.0006927898],"genre_scores_gemma":[0.9923801,0.0001470089,0.002034591,0.0002899583,0.0002423052,0.0000532993,0.0001451949,0.00001845739,0.004689078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3027052,"threshold_uncertainty_score":0.6089048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818546322186045,"score_gpt":0.2527086027346342,"score_spread":0.2245231395127738,"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."}}