{"id":"W2098207011","doi":"10.1016/j.ajhg.2009.06.022","title":"Massively Parallel Sequencing: The Next Big Thing in Genetic Medicine","year":2009,"lang":"en","type":"review","venue":"The American Journal of Human Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":381,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child and Family Research Institute; BC Cancer Agency; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Massive parallel sequencing; Massively parallel; Sanger sequencing; Computer science; DNA sequencing; Personal genomics; Genomics; Computational biology; Biology; Genetics; Genome; Parallel computing; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002982092,0.001643884,0.002800872,0.00197635,0.000361374,0.001377615,0.002593198,0.002856807,0.003537177],"category_scores_gemma":[0.003049951,0.0005590877,0.0007694777,0.002442309,0.001650821,0.002707296,0.001420302,0.005418128,0.003108914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201433,"about_ca_system_score_gemma":0.001644822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524828,"about_ca_topic_score_gemma":0.002098248,"domain_scores_codex":[0.9990692,0.000222225,0.00007687542,0.000124129,0.0004488742,0.00005883185],"domain_scores_gemma":[0.9971902,0.001558873,0.0001860425,0.00008011347,0.0005732213,0.0004116462],"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":[0.0001655153,0.00008139126,0.0001784713,0.003696044,0.0001446016,0.0001499927,0.00002032813,0.0007092638,0.001231332,0.005629302,0.1070744,0.8809193],"study_design_scores_gemma":[0.0001252173,0.0001513294,0.0007847628,0.001780232,0.000145533,0.001335082,0.0000405471,0.0009772714,0.0009497669,0.01224568,0.9814034,0.00006125389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001283149,0.9878229,0.003342915,0.004714634,0.002623738,0.00001860171,0.00005917942,0.00008958393,0.00120007],"genre_scores_gemma":[0.001211262,0.9866304,0.004083632,0.003597013,0.003005187,0.00002814731,0.0001397228,0.00001445743,0.001290204],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003537177,"threshold_uncertainty_score":0.01577103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07029077671750361,"score_gpt":0.3345144717670009,"score_spread":0.2642236950494973,"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."}}