{"id":"W1541441004","doi":"10.1111/j.1365-313x.2009.04020.x","title":"Targeted proteomics using selected reaction monitoring reveals the induction of specific terpene synthases in a multi‐level study of methyl jasmonate‐treated Norway spruce (<i>Picea abies</i>)","year":2009,"lang":"en","type":"article","venue":"The Plant Journal","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Manitoba; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Genome British Columbia; Genome Canada","keywords":"Methyl jasmonate; Picea abies; Terpene; Metabolite; Terpenoid; Biochemistry; Enzyme; Proteomics; Biology; Bark (sound); Chemistry; Botany; Gene","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":[0.0006819543,0.0001831745,0.0002472759,0.0000804375,0.000165276,0.00002324959,0.0002866603,0.000141842,0.000003241516],"category_scores_gemma":[0.0001570888,0.0001129292,0.00006518832,0.0002902264,0.00004922571,0.00001303293,0.00003479111,0.0003161838,3.613191e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004523479,"about_ca_system_score_gemma":0.0000636905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000110492,"about_ca_topic_score_gemma":0.00002091937,"domain_scores_codex":[0.9985878,0.0002689384,0.0005084697,0.0002014327,0.000213454,0.0002198726],"domain_scores_gemma":[0.9989955,0.00005841981,0.0004951632,0.0002431153,0.0001665415,0.00004129572],"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":[0.0006806446,0.0003946903,0.00524383,0.000009227999,0.0001000048,0.00001097367,0.0002468665,0.0002913669,0.9924638,2.20641e-7,0.00003443734,0.0005239053],"study_design_scores_gemma":[0.0005958756,0.0002612152,0.06503019,0.0001160484,0.00006240579,0.0004014864,0.0009841594,0.0001077828,0.9322837,0.000005741041,0.00002862126,0.0001227963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990006,0.0002840482,0.00009521632,0.00006420378,0.00009784938,0.0003505937,0.00008970685,0.000004706789,0.00001303729],"genre_scores_gemma":[0.9986191,0.0002954447,0.0007785955,0.000006003183,0.000220927,0.000004165594,0.00002555112,0.000009771765,0.0000403982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06018015,"threshold_uncertainty_score":0.460512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05979903537741775,"score_gpt":0.2718860507710793,"score_spread":0.2120870153936615,"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."}}