{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03678372,0.001076837,0.001971379,0.005322904,0.001319375,0.002161979,0.003792657,0.001510898,0.007316414],"category_scores_gemma":[0.1359756,0.0004777191,0.003004411,0.00360193,0.004492177,0.002619902,0.005660195,0.00298293,0.000765637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007302482,"about_ca_system_score_gemma":0.001585398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372851,"about_ca_topic_score_gemma":0.0006818846,"domain_scores_codex":[0.9274229,0.0508741,0.003208683,0.009649195,0.006952723,0.001892295],"domain_scores_gemma":[0.866189,0.1094208,0.004101345,0.015624,0.003561017,0.001103885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00356236,0.001212619,0.1343831,0.0006506022,0.003085849,0.003814172,0.002058261,0.0365936,0.01636508,0.1698862,0.004309118,0.624079],"study_design_scores_gemma":[0.000615074,0.0028129,0.05055988,0.00009187563,0.0008188009,0.003103079,0.0009271318,0.4356639,0.01586615,0.4804769,0.008921881,0.000142408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0725498,0.0001397391,0.9236675,0.0001840328,0.00007675355,0.0003074196,0.0004067977,0.0005551854,0.002112872],"genre_scores_gemma":[0.7259383,0.00007355025,0.2705495,0.000186586,0.0001951952,0.0007342313,0.001205808,0.0002329038,0.0008838711],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03678372,"threshold_uncertainty_score":0.1945332,"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."}}