{"id":"W1592502196","doi":"10.1016/s1525-1578(10)60546-6","title":"Type-Specific Multiple Sequencing Primers","year":2005,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Cancer Institute","keywords":"Genotyping; Biology; Typing; Amplicon; Primer (cosmetics); DNA sequencing; Polymerase chain reaction; Genetics; Genotype; Multiple displacement amplification; Sequencing by ligation; Massive parallel sequencing; Computational biology; DNA nanoball sequencing; DNA; Gene; DNA extraction; Genomic library; Base sequence","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":[0.002797671,0.004746805,0.003952391,0.003960472,0.002190077,0.001743891,0.002009268,0.003950543,0.02256642],"category_scores_gemma":[0.005123588,0.004796275,0.003861351,0.001518202,0.001453766,0.001774331,0.001537933,0.005411164,0.01672112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143038,"about_ca_system_score_gemma":0.002986212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249852,"about_ca_topic_score_gemma":0.005209175,"domain_scores_codex":[0.9907829,0.00165578,0.0009432101,0.004608016,0.0009722371,0.001037846],"domain_scores_gemma":[0.9950486,0.001732061,0.0004211567,0.0009354691,0.001452995,0.000409858],"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":[0.00135826,0.000499387,0.00324747,0.0007972624,0.0002308098,0.0006513706,0.0005139905,0.001064647,0.9438748,0.003841352,0.009801663,0.03411909],"study_design_scores_gemma":[0.0005572648,0.001947813,0.007944319,0.0005555843,0.001065737,0.00376426,0.0004177131,0.009960346,0.823854,0.004083697,0.1456288,0.0002205147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1566481,0.005071428,0.7655467,0.002060863,0.004244783,0.00589292,0.02081828,0.01093708,0.02877979],"genre_scores_gemma":[0.1453035,0.002281294,0.7461781,0.006266687,0.0005411113,0.004594295,0.04605816,0.004036803,0.04474011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02256642,"threshold_uncertainty_score":0.07549226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03827797621725257,"score_gpt":0.3202999203013575,"score_spread":0.282021944084105,"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."}}