{"id":"W3043593900","doi":"10.1002/gepi.22335","title":"Shared genomic segment analysis with equivalence testing","year":2020,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"Medical Research Council; University of Bristol; Wellcome Trust","keywords":"Genetics; Biology; Candidate gene; Loss of heterozygosity; Genome; Gene; Computational biology; Multiple comparisons problem; Allele; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000250817,0.0001659824,0.0003059963,0.00005326072,0.00007121929,0.000007494858,0.0002693771,0.0001231258,0.00008540063],"category_scores_gemma":[0.0004982008,0.000138094,0.00009711865,0.0003960347,0.00008678593,0.000001679811,0.0001232931,0.00008683355,0.00003121582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001524093,"about_ca_system_score_gemma":0.00008469239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001858522,"about_ca_topic_score_gemma":0.000008369042,"domain_scores_codex":[0.9983517,0.0002454947,0.0003544748,0.0006662905,0.00007427754,0.0003077954],"domain_scores_gemma":[0.9990407,0.00006868384,0.0002012727,0.0004100392,0.00007810233,0.000201204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001020172,0.00001887367,0.2919724,0.00001889582,0.0002853818,0.000002958745,0.00005542085,0.01900541,0.6781902,0.00004355167,0.00313917,0.007165772],"study_design_scores_gemma":[0.0009961687,0.001376935,0.9178273,0.00001778759,0.0005313201,0.00002495124,0.0001645374,0.01732583,0.03051557,0.0002415001,0.03032183,0.0006562298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7395592,0.002360468,0.2534479,0.003371146,0.00006711351,0.000240961,0.00001946988,0.00003870986,0.0008950804],"genre_scores_gemma":[0.9441895,0.0001259813,0.049923,0.005215009,0.0002496438,0.00005837258,0.00009705184,0.00001820714,0.0001232751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6476746,"threshold_uncertainty_score":0.5631311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08804129143203207,"score_gpt":0.3071216891587829,"score_spread":0.2190803977267508,"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."}}