{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005642883,0.002550068,0.002094326,0.003842357,0.0007090005,0.003142766,0.003056571,0.001375824,0.01452542],"category_scores_gemma":[0.01096293,0.001489403,0.001486153,0.002035091,0.0007850365,0.001214199,0.002421016,0.002114816,0.01626558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009291582,"about_ca_system_score_gemma":0.001256034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001186328,"about_ca_topic_score_gemma":0.001000947,"domain_scores_codex":[0.9930152,0.001943217,0.0006933245,0.001715912,0.002263976,0.0003683865],"domain_scores_gemma":[0.9950153,0.00191383,0.0006757448,0.001285972,0.0009545629,0.0001544858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003071728,0.0007093305,0.01972176,0.001998994,0.0008622288,0.000504528,0.000783515,0.02007295,0.2711144,0.01796685,0.08678137,0.5764123],"study_design_scores_gemma":[0.0002919747,0.0004639071,0.01724384,0.0002121712,0.0002374771,0.001203873,0.0001149574,0.2761202,0.4935338,0.01274953,0.1972742,0.0005540935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01264389,0.0004017619,0.9000612,0.0001176683,0.0001568889,0.0005955332,0.007080886,0.07501902,0.003923052],"genre_scores_gemma":[0.04196661,0.0003459387,0.9236191,0.0003463213,0.00007954154,0.002641305,0.01295825,0.009155765,0.008887145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01452542,"threshold_uncertainty_score":0.04859233,"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."}}