{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000826926,0.00008052718,0.00008217159,0.00005507382,0.0001955784,0.00002173347,0.0002741882,0.00006294428,0.000001115797],"category_scores_gemma":[0.0004638893,0.00005385742,0.00005476436,0.0002733976,0.0003115494,0.00002410483,0.00005281068,0.00004131823,2.352891e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001230646,"about_ca_system_score_gemma":0.00005307734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004676991,"about_ca_topic_score_gemma":7.100265e-7,"domain_scores_codex":[0.9990094,0.000001991414,0.0002120561,0.0002377824,0.0003934819,0.0001452575],"domain_scores_gemma":[0.9993041,0.00004877699,0.0002846739,0.0000102172,0.0003117255,0.00004057612],"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":[0.00005804779,0.0000498602,0.005901202,0.00004384121,0.000009600816,1.164742e-7,0.00001578935,0.00003075318,0.9917206,0.001937208,0.000155683,0.00007729138],"study_design_scores_gemma":[0.0001947138,0.0001358275,0.01000761,0.00004142237,0.00002789484,0.0003159269,0.0001087881,0.0002775728,0.9871292,0.001387437,0.0002844215,0.00008916583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981182,0.0002348424,0.00004175868,0.0001225398,0.00001016983,0.0002903677,0.0002407894,0.000003915154,0.0009373757],"genre_scores_gemma":[0.9977705,0.00001427039,0.001831296,0.0001768554,0.00008990944,0.00000908839,0.000001961876,0.000004865999,0.0001012481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00459139,"threshold_uncertainty_score":0.2196242,"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."}}