{"id":"W2001553582","doi":"10.1186/1471-2156-8-18","title":"Hemi-nested touchdown PCR combined with primer-template mismatch PCR for rapid isolation and sequencing of low molecular weight glutenin subunit gene family from a hexaploid wheat BAC library","year":2007,"lang":"en","type":"article","venue":"BMC Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Primer (cosmetics); Biology; Genetics; Glutenin; genomic DNA; Gene; Primer dimer; Polymerase chain reaction; DNA sequencing; Genomic library; Molecular biology; Computational biology; Protein subunit; Peptide sequence; Multiplex polymerase chain reaction; Chemistry","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":[0.0001683871,0.000234722,0.0003170533,0.00002911394,0.0001265644,0.00004606544,0.0001865963,0.0002113082,0.0000424312],"category_scores_gemma":[0.000007596884,0.0001132513,0.00008058078,0.0002425056,0.00009379987,0.00005932678,0.00006912733,0.00008562126,0.000002096378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001029216,"about_ca_system_score_gemma":0.00003747848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008117191,"about_ca_topic_score_gemma":0.0001479103,"domain_scores_codex":[0.9986389,0.00006595364,0.0003850314,0.0003828336,0.0001723094,0.0003549814],"domain_scores_gemma":[0.9992809,0.0002053623,0.0001468854,0.0001206366,0.0001006652,0.0001455428],"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":[0.0003538155,0.00005045636,0.01761629,0.00002882258,0.00002120267,0.000008318605,0.0001177985,0.00003962987,0.9759912,0.00002469921,0.00008338882,0.005664402],"study_design_scores_gemma":[0.0008920715,0.001634854,0.1008168,0.00004933649,0.00006377448,0.00001495468,0.000179006,0.0009311284,0.8935903,0.000616108,0.0008836748,0.000327918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939499,0.002603007,0.002372782,0.0001543739,0.00009351963,0.0005046716,0.0001345049,0.00004101727,0.0001462242],"genre_scores_gemma":[0.9708342,0.0003389856,0.02790125,0.0001940724,0.0001645059,0.00001304266,0.0004476043,0.000007135007,0.00009919453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08320054,"threshold_uncertainty_score":0.4618255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056616494917207,"score_gpt":0.2028239398633608,"score_spread":0.1822577749141887,"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."}}