{"id":"W2040135518","doi":"10.1016/j.jviromet.2007.03.007","title":"Development of an oligonucleotide-based DNA microarray for transcriptional analysis of Choristoneura fumiferana nucleopolyhedrovirus (CfMNPV) genes","year":2007,"lang":"en","type":"article","venue":"Journal of Virological Methods","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Forest Research Institute; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics Institute; Genome Canada","keywords":"Biology; ORFS; Gene; DNA microarray; Molecular biology; Complementary DNA; Oligonucleotide; Microarray; Microarray analysis techniques; Genetics; Open reading frame; Gene expression; Peptide sequence","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":[0.0004861903,0.0008660796,0.0008380677,0.0005973533,0.0004694609,0.0004062293,0.0006528791,0.0007423508,0.001971809],"category_scores_gemma":[0.0003556169,0.0007168924,0.0006723785,0.000504553,0.0003047127,0.0003663127,0.0002573026,0.001147862,0.0007872326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006894479,"about_ca_system_score_gemma":0.0005267981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080663,"about_ca_topic_score_gemma":0.004110628,"domain_scores_codex":[0.9994862,0.00006852479,0.00002909733,0.0002038337,0.0001392036,0.00007314453],"domain_scores_gemma":[0.9997926,0.00007887662,0.00002719998,0.00001864277,0.00004503234,0.00003765012],"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":[0.00002785817,0.00002144627,0.00004798519,0.00002628692,0.000004066281,0.000007866658,0.000005325386,0.00006201915,0.9988992,0.00005643812,0.00004277005,0.0007986983],"study_design_scores_gemma":[0.00002461892,0.0002516034,0.002112341,0.000009009782,0.00002909253,0.00006237743,0.00001875976,0.004439222,0.9897412,0.0001201162,0.003177206,0.00001430027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.602636,0.002435717,0.3708032,0.001209786,0.0006561574,0.001241037,0.00947487,0.00280163,0.00874155],"genre_scores_gemma":[0.3739325,0.001993786,0.5965312,0.0007718589,0.0001346007,0.002985403,0.01039221,0.0001903878,0.01306813],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001971809,"threshold_uncertainty_score":0.006596386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700872967325407,"score_gpt":0.3906167829424217,"score_spread":0.3536080532691677,"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."}}