{"id":"W1558454678","doi":"10.4315/0362-028x-69.9.2280","title":"An Internal Amplification Control System Based on Primer-Dimer Formation for PCR Product Detection by DNA Hybridization","year":2006,"lang":"en","type":"article","venue":"Journal of Food Protection","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Primer dimer; Primer (cosmetics); Amplicon; Multiplex ligation-dependent probe amplification; Molecular biology; Multiplex polymerase chain reaction; Hybridization probe; Biology; Polymerase chain reaction; Multiple displacement amplification; Primer extension; DNA; In silico PCR; Hot start PCR; Applications of PCR; Molecular probe; Gene; Genetics; Chemistry; DNA extraction; Base sequence; Exon","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004498495,0.0001245026,0.000123422,0.0001119431,0.0001436078,0.00003491603,0.0001083332,0.0001317885,9.982953e-7],"category_scores_gemma":[0.00004109819,0.0001134657,0.0001072262,0.00009127649,0.00002189449,0.00002323928,0.00000421922,0.0001068933,8.351655e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000804523,"about_ca_system_score_gemma":0.00003150171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001345022,"about_ca_topic_score_gemma":0.000007681968,"domain_scores_codex":[0.9990081,0.0001170433,0.0004158884,0.000206667,0.0001325859,0.0001197453],"domain_scores_gemma":[0.9987445,0.000006188088,0.0006158083,0.0002104384,0.0003851412,0.00003788533],"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":[0.0004528711,0.0001234371,0.00002552594,0.00002907645,0.00002070987,7.556446e-8,0.000002379949,0.001295542,0.9897417,0.00009780516,0.0003391732,0.007871633],"study_design_scores_gemma":[0.0008477104,0.003227561,0.0002446885,0.00002534502,0.00004230997,0.00005430358,0.000009599619,0.01334191,0.9760449,0.0001063926,0.005939883,0.0001154083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2231623,0.00006163439,0.7755826,0.0001474827,0.000100699,0.0008616887,0.00002335999,0.00002405072,0.00003620099],"genre_scores_gemma":[0.9968299,0.000003606473,0.002178966,0.00006284906,0.0004528666,0.0002717537,0.0001671792,0.00002023259,0.00001267232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7736676,"threshold_uncertainty_score":0.4626996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00718296266821277,"score_gpt":0.2320266925464308,"score_spread":0.224843729878218,"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."}}