{"id":"W1981055997","doi":"10.1159/000131038","title":"Linkage analysis of the GPT and GOT <sub>S</sub> loci","year":2008,"lang":"en","type":"article","venue":"Cytogenetics and Cell Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Biology; Linkage (software); Genetics; Molecular biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000721228,0.0003037445,0.0003930445,0.002922405,0.0004649118,0.0004847742,0.0002862465,0.0003556312,0.02957403],"category_scores_gemma":[0.001198135,0.0002549629,0.0005543666,0.00136039,0.0003081867,0.0001510252,0.0006503335,0.0005783463,0.0044869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005281284,"about_ca_system_score_gemma":0.0004950136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003619724,"about_ca_topic_score_gemma":0.003789064,"domain_scores_codex":[0.9995707,0.00007913439,0.00002344268,0.0000688416,0.0002124049,0.00004545927],"domain_scores_gemma":[0.9993283,0.0001973749,0.0001445392,0.00006030764,0.0001247252,0.0001448392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004169773,0.0008747174,0.2450288,0.0004483929,0.000685648,0.01665124,0.001328325,0.001653533,0.1975407,0.01413573,0.1213906,0.3960926],"study_design_scores_gemma":[0.0005769635,0.001538808,0.778618,0.0002836426,0.0003949878,0.02286298,0.0007517785,0.001927076,0.04245539,0.005483637,0.1450072,0.00009959433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9020208,0.006535652,0.007879938,0.002262527,0.0004299529,0.0003155493,0.008647621,0.0003741782,0.07153381],"genre_scores_gemma":[0.8991177,0.006790314,0.01056721,0.0005279365,0.0003934978,0.0001777109,0.0156053,0.0002118127,0.06660855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02957403,"threshold_uncertainty_score":0.09893501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007715628430202998,"score_gpt":0.1929761864050105,"score_spread":0.1852605579748075,"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."}}