{"id":"W1538804143","doi":"10.1038/nrg1230","title":"Digital genotyping using molecular affinity and mass spectrometry","year":2003,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Columbia College","funders":"Wissenschaftskolleg zu Berlin","keywords":"Genotyping; Biology; Multiplex; Computational biology; DNA sequencing; Genetics; Digital polymerase chain reaction; Identification (biology); DNA; Genotype; Polymerase chain reaction; Gene","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"],"consensus_categories":[],"category_scores_codex":[0.0003215118,0.0006698077,0.001327469,0.0001332437,0.0001107824,0.00008763602,0.0004440377,0.001860976,0.00001185556],"category_scores_gemma":[0.0001186073,0.0005756107,0.0006170515,0.0003754472,0.0001273839,0.000002800401,0.0002472326,0.0008777775,0.00001359161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004458038,"about_ca_system_score_gemma":0.0001653255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.363053e-7,"about_ca_topic_score_gemma":3.842523e-7,"domain_scores_codex":[0.9975727,0.0002402282,0.000701946,0.0009337721,0.0001380601,0.000413265],"domain_scores_gemma":[0.9982266,0.00001555526,0.0004789743,0.001043774,0.00007273696,0.0001623196],"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":[0.000001842949,0.00004070836,0.00001126374,0.003833277,0.0001947638,0.00001074376,0.000001099452,7.986353e-7,0.009435858,0.0002936932,0.000691998,0.9854839],"study_design_scores_gemma":[0.00006347077,0.00006242737,4.354469e-7,0.0009732529,0.0004901172,0.0002039494,8.213526e-7,0.000003408607,0.0008750564,0.0001066967,0.9966357,0.0005846311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004089732,0.9760958,0.02101206,0.000006545063,0.0001026364,0.001352717,0.000104518,0.0000210177,0.001263803],"genre_scores_gemma":[0.00001126307,0.9485166,0.05015716,0.000234989,0.000194284,0.00009642555,0.0005344864,0.0001055475,0.0001492211],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9959437,"threshold_uncertainty_score":0.9996696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02799706968239602,"score_gpt":0.350894585941374,"score_spread":0.3228975162589779,"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."}}