{"id":"W2044931728","doi":"10.1111/j.1755-0998.2009.02638.x","title":"A high density <i>COX1</i> barcode oligonucleotide array for identification and detection of species of <i>Penicillium</i> subgenus <i>Penicillium</i>","year":2009,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa; Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Amplicon; Oligonucleotide; Biology; DNA barcoding; Penicillium; Computational biology; Subgenus; Polymerase chain reaction; DNA; Barcode; Digoxigenin; Genetics; Gene; Botany; Evolutionary biology; Taxonomy (biology); In situ hybridization","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":[0.0004672494,0.0007848428,0.0005947018,0.0006413385,0.0002450279,0.0004218259,0.0005915468,0.0008317925,0.00164296],"category_scores_gemma":[0.0006363461,0.0005785236,0.0004011275,0.0004607554,0.0002605593,0.0004665803,0.0004331095,0.0006599576,0.001217523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003362561,"about_ca_system_score_gemma":0.0002922603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005048795,"about_ca_topic_score_gemma":0.00122383,"domain_scores_codex":[0.9991302,0.0001204797,0.00003892645,0.0004261651,0.0001893374,0.00009480371],"domain_scores_gemma":[0.9996783,0.00009937552,0.00005032362,0.00003887751,0.00008056975,0.00005266647],"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":[0.00003022759,0.000009598458,0.0002556738,0.00005725101,0.000005071953,0.000009890687,0.000008597096,0.00007563291,0.9945781,0.00003838618,0.00005224788,0.004879266],"study_design_scores_gemma":[0.00001527312,0.0003288735,0.007050636,0.00002030997,0.00005816777,0.00034388,0.00002323492,0.004812605,0.9803601,0.000115884,0.006841493,0.00002949982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4680098,0.004918663,0.5136032,0.0003788869,0.0002581806,0.0006052495,0.003942561,0.002863067,0.005420412],"genre_scores_gemma":[0.2606646,0.002611234,0.7240015,0.0003489732,0.00008215268,0.0007496102,0.004895138,0.000185624,0.006461181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00164296,"threshold_uncertainty_score":0.005496264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005079054249426096,"score_gpt":0.1997531730865575,"score_spread":0.1946741188371314,"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."}}