{"id":"W6920476386","doi":"10.60692/mtcbt-scd41","title":"Shared genomic segment analysis with equivalence testing","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Candidate gene; Loss of heterozygosity; Multiple comparisons problem; Set (abstract data type); Gene; Statistical hypothesis testing; Equivalence (formal languages); Homogeneity (statistics)","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":[0.03533301,0.001007105,0.001807675,0.005280189,0.001311338,0.002067008,0.003545319,0.001380137,0.008585059],"category_scores_gemma":[0.1365603,0.0004781699,0.002885735,0.003724618,0.004090211,0.002572472,0.005380935,0.002825748,0.0008043216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007350925,"about_ca_system_score_gemma":0.001647375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163432,"about_ca_topic_score_gemma":0.0008526808,"domain_scores_codex":[0.9277496,0.05099728,0.003246127,0.00952368,0.006683386,0.001800033],"domain_scores_gemma":[0.8691015,0.1069638,0.004007669,0.01536237,0.003547792,0.001016966],"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":[0.003899452,0.001152708,0.1488065,0.0006628129,0.003269414,0.003602622,0.002259686,0.03134387,0.01535396,0.1614914,0.004556055,0.6236016],"study_design_scores_gemma":[0.0006892456,0.003229461,0.06258062,0.0001043022,0.000968199,0.003246467,0.001134729,0.4401042,0.01709746,0.4603334,0.01036225,0.0001496901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08159804,0.0001334245,0.9140193,0.0002012913,0.00007855614,0.0003522888,0.0005211027,0.0006216237,0.002474368],"genre_scores_gemma":[0.7328407,0.00006465938,0.2636643,0.0001782033,0.0001561586,0.0007200982,0.001225835,0.0002209286,0.0009290461],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03533301,"threshold_uncertainty_score":0.186861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04508433680216371,"score_gpt":0.222161753042469,"score_spread":0.1770774162403053,"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."}}