{"id":"W2899943227","doi":"10.1186/s12863-018-0687-7","title":"Exploring the genetic basis of gene transcript abundance and metabolite levels in loblolly pine (Pinus taeda L.) using association mapping and network construction","year":2018,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Department of Agriculture; National Institute of Food and Agriculture; National Science Foundation","keywords":"Biology; Single-nucleotide polymorphism; Gene; Genetics; Loblolly pine; Phenotype; Association mapping; Genetic variation; Candidate gene; Genetic association; Computational biology; Evolutionary biology; Genotype; Pinus <genus>; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007456164,0.0002640878,0.0002372065,0.001083974,0.0003261623,0.0004167494,0.000253258,0.0001957749,0.0008043073],"category_scores_gemma":[0.001152119,0.0001132791,0.0004961845,0.001200465,0.000263401,0.0002214141,0.0003740331,0.0003146947,0.0001037973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003313863,"about_ca_system_score_gemma":0.0003268711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003365904,"about_ca_topic_score_gemma":0.005431684,"domain_scores_codex":[0.9996709,0.000080968,0.00001409551,0.000164479,0.00003993463,0.00002968409],"domain_scores_gemma":[0.9991407,0.0005284294,0.000205564,0.0000350849,0.00004439032,0.00004566727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006882952,0.0001875502,0.7646213,0.0005387496,0.001396221,0.0008086286,0.0006178303,0.0375447,0.1112593,0.003873349,0.0009228142,0.07754128],"study_design_scores_gemma":[0.00004312866,0.0001460632,0.8380108,0.00003578879,0.0005902619,0.0003908119,0.0002923816,0.1402662,0.008584498,0.008602295,0.0030052,0.00003258314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681131,0.0006256926,0.02870691,0.00011557,0.000009992476,0.00002125895,0.001607914,0.0001315403,0.0006679794],"genre_scores_gemma":[0.9821552,0.0003144617,0.01535293,0.00003504139,0.000008490481,0.00003759996,0.001772812,0.00001542755,0.0003080303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003365904,"threshold_uncertainty_score":0.006692648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05553583335536699,"score_gpt":0.2491139248200836,"score_spread":0.1935780914647166,"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."}}