{"id":"W2139994564","doi":"10.1371/journal.pone.0019368","title":"ALG: Automated Genotype Calling of Luminex Assays","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Genotyping; SNP; Single-nucleotide polymorphism; Genotype; Software; Concordance; Reproducibility; Computer science; SNP genotyping; Computational biology; Genetics; Data mining; Biology; Statistics; Mathematics; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006273131,0.00006140554,0.00008624737,0.00002568484,0.00002088058,0.000002654604,0.0001075328,0.00008304242,0.0000960546],"category_scores_gemma":[0.00003374379,0.00005889076,0.00002834958,0.00005778807,0.00002677031,0.00000141308,0.00003400382,0.00003318325,0.0000161359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000473834,"about_ca_system_score_gemma":0.00003165509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001572213,"about_ca_topic_score_gemma":0.00000291373,"domain_scores_codex":[0.9994975,0.00002236365,0.0001307915,0.0001527986,0.0001021151,0.00009446152],"domain_scores_gemma":[0.999549,0.000002072255,0.00007215494,0.0002395162,0.00009614605,0.00004111467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003439111,0.0002932109,0.001928863,0.00002324283,0.00005949546,2.999722e-7,0.00007912852,0.000001248265,0.9965738,0.0000483234,0.0007039082,0.0002540763],"study_design_scores_gemma":[0.0001727255,0.00009887897,0.006662542,0.0000236178,0.00002793413,3.597002e-7,0.00003041733,0.0004904393,0.9918693,0.00002591222,0.0005240834,0.00007379979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992214,0.0003153676,0.0005985873,0.00003052918,0.00003074866,0.00008853561,0.000005342902,0.00004002234,0.006676915],"genre_scores_gemma":[0.9949775,0.0001032617,0.004127231,0.00005805584,0.00005636443,0.00001369193,0.00004111183,0.00001180634,0.0006109507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006065964,"threshold_uncertainty_score":0.2401495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07709072006940221,"score_gpt":0.2441379769067082,"score_spread":0.167047256837306,"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."}}