{"id":"W2013727620","doi":"10.2144/000113369","title":"Improving Sequencing Quality from PCR Products Containing Long Mononucleotide Repeats","year":2010,"lang":"en","type":"article","venue":"BioTechniques","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Guelph; Ontario Genomics Institute; Genome Canada","keywords":"Proofreading; Biology; Genetics; Polymerase; DNA polymerase; DNA; Polymerase chain reaction; Sequence (biology); Nucleotide; Microsatellite; Computational biology; Molecular biology; Allele; Gene","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":[0.0005351698,0.0002336627,0.0002051138,0.00004991448,0.0001650558,0.00004888037,0.0003724742,0.0005035446,0.000019987],"category_scores_gemma":[0.000296578,0.0002285947,0.0001009689,0.0001041944,0.0001551838,0.000007926528,0.0002456309,0.0003783592,0.000005735119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002491865,"about_ca_system_score_gemma":0.0001193702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009629196,"about_ca_topic_score_gemma":0.0002134728,"domain_scores_codex":[0.9983975,0.00008354655,0.0003599153,0.0007434275,0.0001074722,0.0003080839],"domain_scores_gemma":[0.9984997,0.00001643743,0.0002125578,0.001035125,0.0001442214,0.00009195528],"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":[0.00002606505,0.00002311914,0.00186043,0.000009126148,0.00001889774,0.000004038387,0.0000162727,2.523146e-7,0.9848995,0.0009599787,0.0004025227,0.01177983],"study_design_scores_gemma":[0.000108086,0.0001308828,0.002860162,0.00001370919,0.00001344606,0.00001491401,0.00002090883,0.000029402,0.9819205,0.000437578,0.01414645,0.000303963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130546,0.0001860353,0.08442485,0.0003776169,0.00009429689,0.0004969413,0.00004430544,0.0003519714,0.0009693147],"genre_scores_gemma":[0.8910205,0.00006936311,0.1075625,0.0004336268,0.0003520889,0.0001272974,0.0002878496,0.00003879008,0.0001080285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02313761,"threshold_uncertainty_score":0.9321823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964188429127252,"score_gpt":0.2942483561696023,"score_spread":0.2746064718783298,"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."}}