{"id":"W2100740664","doi":"10.3732/ajb.1100313","title":"Genomics of Compositae weeds: EST libraries, microarrays, and evidence of introgression","year":2011,"lang":"en","type":"article","venue":"American Journal of Botany","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Biology; Introgression; DNA microarray; Genomics; Genetics; Genome; Expressed sequence tag; Sanger sequencing; DNA sequencing; Evolutionary biology; Gene; Gene expression","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":[0.00009002845,0.00006539729,0.0001855454,0.00003724136,0.00002182598,0.000004864931,0.0001488408,0.00003609034,0.00001548305],"category_scores_gemma":[0.00002530159,0.00005677676,0.0000530641,0.00006308231,0.0003059059,0.000008088697,0.00006922271,0.00005598556,2.070365e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003312561,"about_ca_system_score_gemma":0.00005988605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004029799,"about_ca_topic_score_gemma":0.000003054733,"domain_scores_codex":[0.9994839,0.00004375707,0.0002470294,0.0000744886,0.00008271667,0.00006809145],"domain_scores_gemma":[0.9991561,0.00001189206,0.0005472776,0.0001123579,0.0001109525,0.00006141357],"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":[0.0004813237,0.00002687729,0.09684195,0.00001797021,0.00007645159,0.000002582002,0.0006287192,0.000009276312,0.8918881,0.0000386971,0.0001416915,0.009846304],"study_design_scores_gemma":[0.0007241344,0.003695243,0.3346377,0.0002629478,0.0001466301,0.0002240855,0.002357231,0.00001032681,0.6543682,0.0002399335,0.00312641,0.0002072174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946527,0.004453183,0.0006889228,0.00004704825,0.00005723638,0.0000273127,0.000005881386,6.924647e-7,0.00006706134],"genre_scores_gemma":[0.9804683,0.0006499309,0.01878078,0.00004929228,0.00003596908,7.446221e-8,8.984288e-7,0.000004585426,0.00001010884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2377958,"threshold_uncertainty_score":0.2315289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574781666057928,"score_gpt":0.2275940466956301,"score_spread":0.2118462300350508,"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."}}