{"id":"W2752967766","doi":"10.1111/tpj.13673","title":"Cell‐type‐ and tissue‐specific transcriptomes of the white spruce (<i>Picea glauca</i>) bark unmask fine‐scale spatial patterns of constitutive and induced conifer defense","year":2017,"lang":"en","type":"article","venue":"The Plant Journal","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; McGill University; Génome Québec; Genome Canada; University of British Columbia","keywords":"Transcriptome; Biology; Cell type; Bark (sound); Phloem; Methyl jasmonate; Botany; Cell biology; Gene expression; Gene; Cell; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002351858,0.0001442338,0.0001915888,0.00001425322,0.0003097781,0.00004845135,0.0003349574,0.0001214433,0.00002048946],"category_scores_gemma":[0.00004738447,0.0000833941,0.00005469282,0.00001850055,0.0003334785,0.000006941829,0.00009967403,0.0001791734,4.951037e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003515351,"about_ca_system_score_gemma":0.00006623229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003477872,"about_ca_topic_score_gemma":0.00007705351,"domain_scores_codex":[0.9992499,0.00007554438,0.0002212634,0.0001588027,0.0001329615,0.0001615783],"domain_scores_gemma":[0.9992281,0.0000337841,0.0002857597,0.0003053381,0.00007706295,0.00006999306],"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":[0.0002921831,0.00002947384,0.0367093,0.00003057201,0.00005523306,0.000007839027,0.0002065457,9.565927e-7,0.9618856,0.00001015591,0.0002656469,0.0005064434],"study_design_scores_gemma":[0.0005285753,0.0001146543,0.04912533,0.00008529073,0.00006941915,0.0005620067,0.0001829267,0.000004615608,0.9471114,0.00002174066,0.002079431,0.0001146665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974456,0.0008434757,0.00005173504,0.0003154161,0.0001854824,0.00009835133,0.0005335433,0.000001605497,0.0005248069],"genre_scores_gemma":[0.9987719,0.0008099466,0.00003705586,0.0000395711,0.0001469964,8.423839e-7,0.00001299677,0.000006379662,0.0001742798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01477431,"threshold_uncertainty_score":0.3400713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406772125221191,"score_gpt":0.2141847130906776,"score_spread":0.2001169918384657,"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."}}