{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000272238,0.00009098612,0.0002355691,0.0001320974,0.00003209171,0.00002122256,0.0001123089,0.0000672112,0.0007775156],"category_scores_gemma":[0.001306242,0.00007465715,0.0001431047,0.0002030575,0.00004792911,0.00005557855,0.00003294531,0.000419315,0.00006318478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697825,"about_ca_system_score_gemma":0.0003107287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004285947,"about_ca_topic_score_gemma":0.00000327482,"domain_scores_codex":[0.9987556,0.00003231949,0.0003384762,0.0000935279,0.0005628605,0.0002171902],"domain_scores_gemma":[0.9985847,0.0002434396,0.000109151,0.0001652223,0.0006300989,0.0002673405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001617207,0.000869694,0.03319902,0.000247672,0.0005354616,0.005807775,0.0007137566,0.003193913,0.2643533,0.000808325,0.07587874,0.6127751],"study_design_scores_gemma":[0.00690564,0.002191723,0.05334783,0.0002554098,0.0003327138,0.001428817,0.0002775755,0.001048888,0.3096529,0.0003616889,0.6238159,0.0003808953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9209803,0.04712405,0.009943524,0.005971824,0.0006994315,0.0004316198,0.000006168583,0.00003195355,0.01481113],"genre_scores_gemma":[0.9841154,0.004601912,0.009544789,0.0009706836,0.0006652348,9.460372e-7,0.000002727809,0.00002309014,0.00007523681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6123942,"threshold_uncertainty_score":0.8513251,"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."}}