{"id":"W2245189052","doi":"10.1016/j.ibmb.2016.01.002","title":"Quantitative metabolome, proteome and transcriptome analysis of midgut and fat body tissues in the mountain pine beetle, Dendroctonus ponderosae Hopkins, and insights into pheromone biosynthesis","year":2016,"lang":"en","type":"article","venue":"Insect Biochemistry and Molecular Biology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Genome Alberta; Genome British Columbia; Genome Canada","keywords":"Dendroctonus; Biology; Sex pheromone; Pheromone; Transcriptome; Juvenile hormone; Mountain pine beetle; Bark beetle; Proteome; Biosynthesis; Metabolome; Insect; Curculionidae; Metabolite; Botany; Gene; Biochemistry; Gene expression; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000747086,0.0001772359,0.0001425376,0.0004104539,0.0003402053,0.0002966501,0.00008699142,0.0001459935,0.000590094],"category_scores_gemma":[0.00006171354,0.0001163279,0.0002115652,0.000284078,0.0001722536,0.0002420373,0.0001558291,0.0002496118,0.0001113923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050945,"about_ca_system_score_gemma":0.000166463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002661663,"about_ca_topic_score_gemma":0.006011021,"domain_scores_codex":[0.9999459,0.000004749062,0.000002504767,0.00002180896,0.0000127147,0.0000123368],"domain_scores_gemma":[0.9999422,0.000008416626,0.00001673804,0.000004575464,0.00001246691,0.00001567292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002523371,0.00001839284,0.003849974,0.00002891963,0.00001384614,0.00003164931,0.00004552531,0.00004316111,0.9943018,0.0000333916,0.0000376543,0.001343246],"study_design_scores_gemma":[0.00001253747,0.0002404408,0.842364,0.000006639994,0.00005650489,0.000293188,0.0003558907,0.001044575,0.1543081,0.0001160617,0.001188639,0.00001344361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968651,0.0004956689,0.0005043677,0.00003597057,0.00000441236,0.000007821166,0.001661501,0.00001043084,0.0004146919],"genre_scores_gemma":[0.9922116,0.000377932,0.001250993,0.00007669065,0.0000111158,0.00002966101,0.003148657,0.00001348389,0.002879919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002661663,"threshold_uncertainty_score":0.005292296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007383172784509402,"score_gpt":0.2426758386443588,"score_spread":0.2352926658598494,"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."}}