{"id":"W1982337485","doi":"10.1016/j.pbiomolbio.2004.01.007","title":"The use of whole genome amplification in the study of human disease","year":2004,"lang":"en","type":"review","venue":"Progress in Biophysics and Molecular Biology","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Polymerase chain reaction; Genome; Computational biology; DNA; Multiple displacement amplification; Biology; genomic DNA; Human genome; Genetics; Molecular biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002004767,0.0002060499,0.0004275842,0.00006518301,0.00006889631,0.00002578492,0.0003559127,0.0001393543,2.877717e-7],"category_scores_gemma":[0.00001711419,0.0001255316,0.0001190543,0.0001675614,0.0002862326,0.000002751048,0.0001666544,0.0001176905,2.654273e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001286682,"about_ca_system_score_gemma":0.00009944895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005402272,"about_ca_topic_score_gemma":0.00003094607,"domain_scores_codex":[0.998613,0.0003202533,0.0005055282,0.0003119292,0.00007179932,0.0001774665],"domain_scores_gemma":[0.9990312,0.00002803159,0.0003354395,0.0005294915,0.0000511925,0.00002460067],"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":[0.0002551407,0.008209809,0.02038593,0.01558833,0.001551397,0.00007454705,0.003212029,0.0001573399,0.02763656,0.1053413,0.00001551915,0.8175721],"study_design_scores_gemma":[0.003641183,0.00527184,0.01511743,0.00325709,0.001472673,0.00002951035,0.001844828,0.00001242462,0.0009420886,0.009554773,0.956908,0.001948146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1664655,0.8323441,0.00003573513,0.00002303259,0.00003119988,0.0009802739,0.000113738,0.000001546968,0.000004842596],"genre_scores_gemma":[0.5259391,0.4732042,0.0000474746,0.000009934607,0.00002814437,0.0002777445,0.0004713382,0.00001621934,0.000005808944],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9568925,"threshold_uncertainty_score":0.5119032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04168910551423662,"score_gpt":0.3313222074626905,"score_spread":0.2896331019484539,"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."}}