{"id":"W2895307773","doi":"10.1016/j.phytochem.2018.09.011","title":"Tissue-specific localization of polyketide synthase and other associated genes in the lichen, Cladonia rangiferina, using laser microdissection","year":2018,"lang":"en","type":"article","venue":"Phytochemistry","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Ministry of Higher Education and Scientific Research; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche; Ministry of Higher Education; University of Manitoba","keywords":"Biology; Gene; Gene expression; Laser capture microdissection; Thallus; Polyketide synthase; Lichen; Biochemistry; Molecular biology; Polyketide; Biosynthesis; Botany","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":[0.00006272359,0.0001123826,0.000104732,0.0002359191,0.0002624437,0.0003182844,0.0001756514,0.0001448013,0.0005746881],"category_scores_gemma":[0.00007042303,0.0001440485,0.0001292368,0.000152999,0.0002080642,0.0002126784,0.0002116535,0.0003453492,0.0002739603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000279639,"about_ca_system_score_gemma":0.0001856896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002186883,"about_ca_topic_score_gemma":0.00632033,"domain_scores_codex":[0.9999486,0.000002815871,0.000003294222,0.00001933979,0.00001118033,0.00001472786],"domain_scores_gemma":[0.9998902,0.00003510513,0.00002545056,0.0000122599,0.00001393549,0.00002294982],"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":[0.00001801768,0.000003541024,0.0005643808,0.0000128335,0.000001479688,0.00002381894,0.00003862115,0.00003533361,0.99837,0.00006133299,0.00001058224,0.0008601369],"study_design_scores_gemma":[0.00002621328,0.0001806129,0.208161,0.00002610526,0.00003423388,0.0008301992,0.0007490608,0.001774697,0.7824947,0.0002287141,0.005472059,0.00002247763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948763,0.0004568507,0.002045107,0.00003620042,0.000008218067,0.000008753527,0.0004221499,0.00002809948,0.00211846],"genre_scores_gemma":[0.9910911,0.000328714,0.002175631,0.00004998893,0.000006835593,0.00002845384,0.0009012758,0.00002378502,0.005394292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002186883,"threshold_uncertainty_score":0.004348338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480474732595151,"score_gpt":0.2481663166750717,"score_spread":0.2233615693491202,"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."}}