{"id":"W2811490978","doi":"10.2174/1570162x16666180626152252","title":"PCR Amplification Strategies Towards Full-length HIV-1 Genome Sequencing","year":2018,"lang":"en","type":"review","venue":"Current HIV Research","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Genome; DNA sequencing; Computational biology; Cancer genome sequencing; Biology; Whole genome sequencing; Multiple displacement amplification; Deep sequencing; Genetics; Polymerase chain reaction; Gene; DNA extraction","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002566315,0.0007078022,0.001532416,0.001167797,0.0009014521,0.0003080044,0.001546444,0.000744543,0.002818944],"category_scores_gemma":[0.0003747426,0.0005353335,0.0005593113,0.001001742,0.001271661,0.0002272253,0.0007044557,0.002979615,0.09637994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460645,"about_ca_system_score_gemma":0.004619204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005504013,"about_ca_topic_score_gemma":0.00001983894,"domain_scores_codex":[0.9926549,0.002575716,0.0009243366,0.001370526,0.0004602426,0.002014287],"domain_scores_gemma":[0.9967462,0.0005800517,0.0002592121,0.001466011,0.0007367303,0.0002118331],"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":[0.00005626504,0.0003136727,0.000003914676,0.009028013,0.0006959485,0.00003331298,0.0003869694,2.679332e-7,0.0002219962,0.0008494263,0.04652525,0.9418849],"study_design_scores_gemma":[0.0004895496,0.0003311519,0.00001562859,0.002979472,0.0001846509,0.00009253584,0.000330518,8.993666e-7,0.0000251945,0.0001260135,0.994986,0.0004383749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005549814,0.9892828,0.0002230036,0.0000949458,0.0007086928,0.002192857,0.001871056,0.0001431732,0.005428005],"genre_scores_gemma":[0.0002665435,0.9778844,0.00005046285,0.000001801872,0.0005156724,0.001063895,0.01453203,0.00009344477,0.005591818],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9484608,"threshold_uncertainty_score":0.9997098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2914227175486447,"score_gpt":0.4590765042383206,"score_spread":0.1676537866896759,"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."}}