{"id":"W4387296194","doi":"10.1186/s13007-023-01071-5","title":"Automating high-throughput screening for anthracnose resistance in common bean using allele specific PCR","year":2023,"lang":"en","type":"article","venue":"Plant Methods","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; McGill University","keywords":"Colletotrichum lindemuthianum; Biology; Variants of PCR; Phaseolus; Plant disease resistance; DNA extraction; Genetic marker; Gene; Allele; Polymerase chain reaction; Horticulture; Genetics; Biotechnology","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":[0.001899745,0.0001913603,0.0003842263,0.00004589077,0.0003890841,0.00007238524,0.0002592973,0.0001270206,0.00004386584],"category_scores_gemma":[0.00007297647,0.00008785845,0.00009712788,0.000636105,0.00003219213,0.0001068377,0.00008248732,0.000142346,0.000006266408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003594542,"about_ca_system_score_gemma":0.000006302956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001084635,"about_ca_topic_score_gemma":0.002092824,"domain_scores_codex":[0.998115,0.0003230637,0.0003919506,0.0004338677,0.0001925161,0.0005435768],"domain_scores_gemma":[0.9984662,0.001183958,0.000160642,0.00008568483,0.00002591319,0.00007762334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009222217,0.00003183515,0.0007226031,0.00003368309,0.0000106284,0.00007241892,0.0001114122,0.0001362399,0.9482183,0.001624807,0.0006117555,0.0483341],"study_design_scores_gemma":[0.002572829,0.0005903946,0.3817751,0.001929934,0.0001078168,0.000127354,0.004333729,0.1016445,0.2739879,0.03860939,0.191028,0.003292944],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9822329,0.0005617244,0.01479804,0.0003405918,0.0003236934,0.0004164271,0.0008905293,0.0002438914,0.0001921614],"genre_scores_gemma":[0.260842,0.0002869179,0.7369586,0.00009844945,0.0004310176,0.00004823826,0.0009930462,0.000006471827,0.0003352491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7221606,"threshold_uncertainty_score":0.3582763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243145092065618,"score_gpt":0.3436685268687454,"score_spread":0.2193540176621836,"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."}}