{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003410824,0.00189444,0.003018172,0.004014203,0.0005226334,0.00193858,0.004214755,0.002772372,0.004639555],"category_scores_gemma":[0.002012316,0.001058139,0.0008140574,0.003015966,0.002015347,0.002609398,0.001767706,0.002865782,0.01046642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008853214,"about_ca_system_score_gemma":0.0007202863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006668456,"about_ca_topic_score_gemma":0.001047154,"domain_scores_codex":[0.9977545,0.0003041486,0.0001266023,0.0004727014,0.001245404,0.00009667818],"domain_scores_gemma":[0.9983776,0.0007018767,0.0001546515,0.0002640306,0.0004309347,0.00007090994],"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":[0.00008991249,0.0001396583,0.0003781708,0.002785928,0.00008964938,0.0001792081,0.0000406413,0.0006509433,0.05884087,0.01906017,0.03166318,0.8860816],"study_design_scores_gemma":[0.00006099183,0.0001636121,0.00179908,0.0004561671,0.0001380004,0.003815239,0.0000521455,0.002979626,0.08900163,0.02310639,0.878301,0.0001260822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00272322,0.4992141,0.4657154,0.003738052,0.004902175,0.000310513,0.000567225,0.002573954,0.02025537],"genre_scores_gemma":[0.01941337,0.6544159,0.2618504,0.006169346,0.002858581,0.0007438866,0.001791383,0.0002757796,0.05248126],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004639555,"threshold_uncertainty_score":0.01803839,"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."}}