{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001357794,0.00137266,0.001262518,0.000903161,0.0002630767,0.0005679046,0.0009058897,0.0006357479,0.002213536],"category_scores_gemma":[0.001476304,0.001083833,0.001032713,0.0005912686,0.0004581847,0.0005596104,0.0008278926,0.001592263,0.002475623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002574913,"about_ca_system_score_gemma":0.000483907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003396105,"about_ca_topic_score_gemma":0.001116047,"domain_scores_codex":[0.9973195,0.000440865,0.0003238009,0.001079964,0.0006680234,0.0001677305],"domain_scores_gemma":[0.9991003,0.0003143066,0.0001711517,0.0001543251,0.0001889225,0.0000710267],"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":[0.00004342972,0.00003901775,0.0001972484,0.0001207168,0.00001188837,0.00007010454,0.00003961387,0.00007593089,0.9930646,0.00008189988,0.0001248046,0.006130802],"study_design_scores_gemma":[0.00002824932,0.0002609417,0.002841188,0.00002862039,0.0001055352,0.0006821104,0.00003151951,0.003560694,0.9860041,0.0001736984,0.006258675,0.00002472494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2176483,0.002114485,0.7710719,0.0002275618,0.0002281133,0.001243492,0.001989901,0.003174952,0.002301423],"genre_scores_gemma":[0.1953221,0.002038538,0.7837803,0.0003909244,0.00006903517,0.001399224,0.009697076,0.000681254,0.006621622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002213536,"threshold_uncertainty_score":0.007405043,"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."}}