{"id":"W3183918753","doi":"10.3390/genes12081160","title":"Genotype Pattern Mining for Pairs of Interacting Variants Underlying Digenic Traits","year":2021,"lang":"en","type":"article","venue":"Genes","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Genetics; Genotype; Epistasis; Retinitis pigmentosa; Phenotype; 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":[0.0001473199,0.00006879768,0.0001072812,0.00003202567,0.0001084673,0.00008232548,0.0003398088,0.00002531924,0.000009221973],"category_scores_gemma":[0.00005547206,0.00007046082,0.00004880235,0.0001828222,0.00000974493,0.0001920733,0.0001454329,0.00003234427,0.000004743833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009594316,"about_ca_system_score_gemma":0.00007363696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001654609,"about_ca_topic_score_gemma":0.00002317647,"domain_scores_codex":[0.9992919,0.00001977535,0.0001833144,0.0002594847,0.00008411766,0.0001614323],"domain_scores_gemma":[0.9993127,0.0002074319,0.00008947687,0.0002641216,0.00009128503,0.00003500155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.210373e-7,0.00002695827,0.0003081301,0.00002274624,0.00002289693,0.000002653477,0.001042007,0.00004673473,0.01960354,0.0007518068,0.0001385186,0.9780334],"study_design_scores_gemma":[0.001486575,0.0002574466,0.0605114,0.000411108,0.00009898355,0.0001580189,0.004258045,0.7740331,0.1283053,0.00356751,0.02584462,0.001067832],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1027199,0.0002642496,0.8962837,0.0002666599,0.0002132864,0.00006700229,0.00002408904,0.00003926212,0.0001218403],"genre_scores_gemma":[0.6799102,0.00001343214,0.3197844,0.00007833133,0.00005606815,0.00002360732,0.00001758132,0.000008267595,0.000108101],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9769655,"threshold_uncertainty_score":0.2873309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07004570986252151,"score_gpt":0.310678460381511,"score_spread":0.2406327505189895,"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."}}