{"id":"W2414705398","doi":"10.1007/978-1-4939-3360-0_13","title":"PCR Techniques in Next-Generation Sequencing","year":2016,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"European Hematology Association","keywords":"DNA sequencing; Massive parallel sequencing; Computational biology; Ion semiconductor sequencing; Biology; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007916139,0.002058059,0.002695566,0.002510505,0.001353131,0.003237435,0.004143311,0.003398986,0.006183802],"category_scores_gemma":[0.007849596,0.003702967,0.002288432,0.002401651,0.002844382,0.003708144,0.00274177,0.009314865,0.009057057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009394863,"about_ca_system_score_gemma":0.001663199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000941708,"about_ca_topic_score_gemma":0.001506646,"domain_scores_codex":[0.990909,0.004027411,0.0005881076,0.002000929,0.002115818,0.0003585567],"domain_scores_gemma":[0.9938211,0.003592144,0.0003695008,0.001430731,0.0006258444,0.0001606174],"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":[0.0003002583,0.0003847574,0.001512263,0.002799821,0.0003117943,0.0004476077,0.0006004219,0.006678048,0.5848384,0.07622137,0.021125,0.3047802],"study_design_scores_gemma":[0.0001234062,0.0004800797,0.002787435,0.001035954,0.0003914552,0.001623513,0.0001906384,0.05312894,0.4879335,0.110538,0.3414026,0.0003646287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001490895,0.00454389,0.9888868,0.0004920227,0.0006859116,0.0002097182,0.000532279,0.001164165,0.001994278],"genre_scores_gemma":[0.010396,0.005112428,0.9761522,0.001175519,0.0003473019,0.0009521497,0.001293894,0.0007125595,0.003857867],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007916139,"threshold_uncertainty_score":0.04186505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05462902808691557,"score_gpt":0.3746294052780493,"score_spread":0.3200003771911337,"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."}}