{"id":"W2157433773","doi":"10.1094/pdis-91-10-1271","title":"A Specific and Sensitive Method for the Detection of <i>Colletotrichum lindemuthianum</i> in Dry Bean Tissue","year":2007,"lang":"en","type":"article","venue":"Plant Disease","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Association of Friendship Centres; University of Guelph; Agriculture Food and Rural Development; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Agricultural Adaptation Council; Michigan State University","keywords":"Colletotrichum lindemuthianum; Biology; Phaseolus; GenBank; genomic DNA; Primer (cosmetics); Polymerase chain reaction; Internal transcribed spacer; Colletotrichum; Gene; Botany; Genetics; Ribosomal RNA","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":[0.0003145549,0.00009661144,0.0001043379,0.00004808222,0.00005947908,0.000008806884,0.00005462537,0.00005690511,0.000001361156],"category_scores_gemma":[0.00009811149,0.00007465255,0.00005148479,0.00007183202,0.00003591982,0.000002300267,0.00002984555,0.00004266429,6.411656e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006213859,"about_ca_system_score_gemma":0.00002939056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001799206,"about_ca_topic_score_gemma":0.00009274221,"domain_scores_codex":[0.9993588,0.00004029283,0.000150738,0.0002111146,0.00007346821,0.0001655444],"domain_scores_gemma":[0.9995044,0.000160938,0.00005464987,0.0001317032,0.00003527163,0.000113027],"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":[0.001626441,0.00007265908,0.002936919,0.00004038526,0.0000261054,0.00004315725,0.0000359044,0.00002157032,0.9838872,0.00005147035,0.0001694448,0.01108877],"study_design_scores_gemma":[0.001941515,0.0003459216,0.3745965,0.00006223955,0.0002017388,0.00003502391,0.0004324722,0.002245955,0.5706308,0.0001932068,0.04886995,0.0004446398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8033572,0.009619351,0.1763453,0.0001164966,0.0002228764,0.00107714,0.008985904,0.0000136647,0.0002620209],"genre_scores_gemma":[0.9981011,0.0004154187,0.0008580209,0.0001463941,0.0001467954,0.00001893501,0.0002400227,0.000009633501,0.00006364364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4132563,"threshold_uncertainty_score":0.3044243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026907311641374,"score_gpt":0.2516443138708217,"score_spread":0.241375240754408,"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."}}