{"id":"W1931574133","doi":"10.3389/fgene.2015.00291","title":"Simultaneous inference of haplotypes and alleles at a causal gene","year":2015,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Université de Montréal; Computer Research Institute of Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Haplotype; Allele; Genetics; Biology; Genotype; Locus (genetics); Inference; Gene; Evolutionary biology; Computational biology; Computer science; Artificial intelligence","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":[0.006914292,0.0008075159,0.001580641,0.002680636,0.0007956954,0.001209122,0.001435619,0.001306073,0.002253226],"category_scores_gemma":[0.02867324,0.001152583,0.001655775,0.002261231,0.001267069,0.001558936,0.0023643,0.001925735,0.0004162956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827036,"about_ca_system_score_gemma":0.001194793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168888,"about_ca_topic_score_gemma":0.003435179,"domain_scores_codex":[0.9942952,0.002995431,0.0002506848,0.001597871,0.000619912,0.0002409635],"domain_scores_gemma":[0.9719728,0.02302275,0.001750423,0.002329771,0.0004655286,0.0004586993],"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":[0.001079197,0.0004638083,0.2271269,0.000531916,0.003517815,0.002906118,0.00163396,0.146837,0.0276358,0.1046957,0.002427442,0.4811444],"study_design_scores_gemma":[0.0002927716,0.0004640588,0.04296665,0.0001235783,0.001132305,0.002311625,0.000187281,0.6336358,0.01063107,0.3004113,0.007631415,0.0002122678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02768698,0.0002532013,0.971076,0.0001899165,0.00002520162,0.00002692628,0.0002622245,0.0001196375,0.0003598836],"genre_scores_gemma":[0.4399334,0.0005635325,0.5561146,0.0002490419,0.000171544,0.0001491307,0.001051447,0.00007772347,0.001689652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006914292,"threshold_uncertainty_score":0.03656667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536151249669924,"score_gpt":0.2616394799074216,"score_spread":0.2462779674107224,"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."}}