{"id":"W1908395246","doi":"10.1371/journal.pone.0139450","title":"Candidate Gene Identification with SNP Marker-Based Fine Mapping of Anthracnose Resistance Gene Co-4 in Common Bean","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Research and Innovation; Agriculture and Agri-Food Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Genetics; Biology; Colletotrichum lindemuthianum; Locus (genetics); Gene; Phaseolus; Single-nucleotide polymorphism; Candidate gene; Genetic linkage; Leucine-rich repeat; Population; Plant disease resistance; Genotype; 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":[0.0003829262,0.0001140084,0.0002587216,0.00002762787,0.00006983505,0.00002358955,0.0001787118,0.00006041546,0.00003332916],"category_scores_gemma":[0.00002257141,0.00004892303,0.00002567886,0.0003274946,0.00005049419,0.00006579477,0.00001752974,0.00007328836,0.000007013549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003918709,"about_ca_system_score_gemma":0.00001823919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001140086,"about_ca_topic_score_gemma":0.0110723,"domain_scores_codex":[0.9988428,0.00008122245,0.000284768,0.0002427041,0.0003435113,0.0002049305],"domain_scores_gemma":[0.9994767,0.0000547001,0.0001884778,0.00009954012,0.00009427399,0.00008627326],"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":[0.0002298885,0.0004712317,0.01811052,0.00002912019,0.00001680975,0.00002592001,0.00003862852,0.00001135829,0.9806336,0.00002049293,0.00005826072,0.0003542343],"study_design_scores_gemma":[0.0004661231,0.0001692452,0.1495833,0.0003004646,0.00002538665,0.000001583542,0.0001402403,0.0003228535,0.8484935,0.0001408893,0.0001590783,0.0001972868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982982,0.0002998386,0.00003981447,0.0004414476,0.00001725157,0.0002400713,0.0003911888,0.00002655815,0.0002455902],"genre_scores_gemma":[0.9975373,0.00004618472,0.001570502,0.00003741632,0.00004315258,0.00001981458,0.000401816,0.000001588794,0.0003422141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.13214,"threshold_uncertainty_score":0.6178606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06206413441341668,"score_gpt":0.2250020507811888,"score_spread":0.1629379163677721,"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."}}