{"id":"W2109782899","doi":"10.1073/pnas.0611691104","title":"Prospects for fungus identification using <i>CO1</i> DNA barcodes, with <i>Penicillium</i> as a test case","year":2007,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":345,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Toronto; University of Guelph; Agriculture and Agri-Food Canada","funders":"Ontario Genomics; Ontario Genomics Institute; Genome Canada; Gordon and Betty Moore Foundation","keywords":"Penicillium; Identification (biology); Computational biology; Biology; Fungus; DNA; Microbiology; Test (biology); Genetics; 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":[0.01127396,0.001337671,0.001453668,0.002493329,0.0006443725,0.003018183,0.003116233,0.00473483,0.006246413],"category_scores_gemma":[0.006884707,0.0009393723,0.0009939636,0.001717707,0.002095195,0.006189199,0.002004405,0.002385334,0.003777532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267445,"about_ca_system_score_gemma":0.002072685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001715309,"about_ca_topic_score_gemma":0.002075886,"domain_scores_codex":[0.9971775,0.001057026,0.0001401779,0.0007374002,0.0005501023,0.0003377422],"domain_scores_gemma":[0.9916276,0.003269117,0.001080201,0.0007789606,0.001806068,0.001438161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001300348,0.000404457,0.03475825,0.002341436,0.0001291993,0.0007582214,0.0005698645,0.002796394,0.3026537,0.01145514,0.01003774,0.6327953],"study_design_scores_gemma":[0.0002565281,0.005890745,0.08512452,0.003115189,0.0004556274,0.006895243,0.006686102,0.03183137,0.3481611,0.0938115,0.4169575,0.0008146644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2099357,0.2181958,0.4792364,0.05845074,0.002096347,0.0006182253,0.00362086,0.002736212,0.02510975],"genre_scores_gemma":[0.2598582,0.05810386,0.6583948,0.004451549,0.001521766,0.0004676731,0.003700321,0.0002803193,0.01322153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01127396,"threshold_uncertainty_score":0.05962312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647834553003377,"score_gpt":0.2964469785008813,"score_spread":0.2699686329708475,"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."}}