{"id":"W2163604010","doi":"10.1186/1471-2229-10-106","title":"Laser microdissection of conifer stem tissues: Isolation and analysis of high quality RNA, terpene synthase enzyme activity and terpenoid metabolites from resin ducts and cambial zone tissue of white spruce (Picea glauca)","year":2010,"lang":"en","type":"article","venue":"BMC Plant Biology","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Genome British Columbia; Genome Canada","keywords":"Biology; Phloem; Xylem; Methyl jasmonate; Terpenoid; Botany; ATP synthase; Terpene; Cambium; Biochemistry; Enzyme; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001885607,0.0003466276,0.0002080628,0.0004103287,0.0004057401,0.0002599732,0.0002174331,0.0001550663,0.0007676215],"category_scores_gemma":[0.0001269692,0.0001474707,0.0002112262,0.0003692287,0.0002669455,0.0001379737,0.0002031827,0.0004563509,0.0005305422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215735,"about_ca_system_score_gemma":0.0003189198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001443482,"about_ca_topic_score_gemma":0.005022634,"domain_scores_codex":[0.9998742,0.000006105195,0.000009271479,0.00005042232,0.00003756328,0.00002235704],"domain_scores_gemma":[0.999772,0.00006353555,0.00004958891,0.00002787355,0.00004420201,0.00004276866],"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":[0.00001207827,0.000004362762,0.0004327593,0.00001852665,0.00000181709,0.00002409469,0.00001677739,0.00002018889,0.998345,0.0000131125,0.00001326825,0.001098088],"study_design_scores_gemma":[0.00001521336,0.0002661035,0.1157241,0.00001613405,0.00003317118,0.0007214938,0.000161623,0.0008573501,0.8759279,0.00009184354,0.006172945,0.00001216189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448889,0.001932973,0.04404453,0.00009602391,0.0000463164,0.0003457707,0.004511259,0.0004336824,0.003700552],"genre_scores_gemma":[0.8816589,0.002126281,0.08845449,0.0002774039,0.00006469118,0.0009484285,0.01615168,0.0002828636,0.01003527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001443482,"threshold_uncertainty_score":0.002870202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111237293846683,"score_gpt":0.2490974862057033,"score_spread":0.237973756821035,"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."}}