{"id":"W2588631423","doi":"10.1093/bioinformatics/btx102","title":"<i>GARLIC</i>: Genomic Autozygosity Regions Likelihood-based Inference and Classification","year":2017,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Human Genome Research Institute; National Institutes of Health","keywords":"Inference; Computer science; Artificial intelligence","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":[0.003207931,0.002605179,0.001912002,0.002902066,0.001295755,0.00320159,0.004609224,0.001554408,0.09167795],"category_scores_gemma":[0.01668,0.001939639,0.002419247,0.002312339,0.001166912,0.001981639,0.002497064,0.002926826,0.04943027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051007,"about_ca_system_score_gemma":0.001995993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002917117,"about_ca_topic_score_gemma":0.005288373,"domain_scores_codex":[0.9986327,0.0003216571,0.0001193717,0.0004786004,0.0003149935,0.0001325686],"domain_scores_gemma":[0.9952281,0.002634267,0.0004581332,0.0009916973,0.0004458966,0.0002418972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00103917,0.0001844886,0.009054825,0.001669263,0.0007329743,0.0005086972,0.0005037289,0.02414874,0.008469777,0.01550472,0.7452904,0.1928932],"study_design_scores_gemma":[0.001041927,0.0002252641,0.008649767,0.000542908,0.0004090861,0.001334417,0.0001154255,0.5613877,0.04116447,0.1015463,0.2831496,0.0004331742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004318921,0.0003216111,0.4777457,0.0005011745,0.0003120067,0.0002107709,0.03924665,0.4713789,0.00596439],"genre_scores_gemma":[0.05464277,0.0003683369,0.7307732,0.001143771,0.0003681353,0.001093528,0.07787255,0.1246659,0.009071844],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09167795,"threshold_uncertainty_score":0.3066933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03143508679184543,"score_gpt":0.28629253257251,"score_spread":0.2548574457806646,"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."}}