{"id":"W2154678513","doi":"10.2144/000112678","title":"Increased Efficiency of Genetic Profiling Through Quantity and Quality Assessment of Fluorescently Labeled Oligonucleotide Primers","year":2008,"lang":"en","type":"article","venue":"BioTechniques","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Primer (cosmetics); Oligonucleotide; DNA profiling; Limiting; Profiling (computer programming); Computational biology; Biology; Polymerase chain reaction; Chromatography; DNA; Molecular biology; Genetics; Computer science; Chemistry; Gene; Engineering","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":[0.01519435,0.001632732,0.001945468,0.003286688,0.0006083539,0.002916531,0.001781009,0.001822817,0.00254295],"category_scores_gemma":[0.02487476,0.001443374,0.001140813,0.002022439,0.00170532,0.002300584,0.001776567,0.003058757,0.002766631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009656869,"about_ca_system_score_gemma":0.001084811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005809047,"about_ca_topic_score_gemma":0.001379438,"domain_scores_codex":[0.9798847,0.007140706,0.002734037,0.003278459,0.006327455,0.0006346119],"domain_scores_gemma":[0.9760982,0.00923187,0.003910524,0.003921032,0.006433204,0.0004050796],"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":[0.00005912166,0.00006275746,0.0002616458,0.0001387648,0.00001635285,0.00003901957,0.00008722829,0.0002146224,0.9904559,0.0003693399,0.0001589357,0.008136357],"study_design_scores_gemma":[0.00001789205,0.0001472721,0.001031919,0.00004583087,0.00005397035,0.0002242325,0.00002127524,0.00288731,0.990885,0.0003703549,0.004275775,0.00003930571],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06542474,0.001391402,0.9267229,0.0005119771,0.0002753228,0.0008062107,0.0004536895,0.002516641,0.001897053],"genre_scores_gemma":[0.0680221,0.001108748,0.9248939,0.0002852755,0.00006031832,0.0008183343,0.001019356,0.001012395,0.002779563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01519435,"threshold_uncertainty_score":0.0803563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228995830725362,"score_gpt":0.3342326733107377,"score_spread":0.3019427150034841,"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."}}