{"id":"W106150465","doi":"10.2202/1544-6115.1410","title":"Testing for Gene-Gene Interaction with AMMI Models","year":2010,"lang":"en","type":"article","venue":"Statistical Applications in Genetics and Molecular Biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Ammi; Gene interaction; Biplot; Main effect; Interaction; Gene–environment interaction; Computational biology; Additive genetic effects; Biology; Multiplicative function; Genetics; Gene; Trait; Mixed model; Computer science; Mathematics; Genotype; Statistics; Heritability","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":[0.04657119,0.003159824,0.003058355,0.003455546,0.001557412,0.002756751,0.003280924,0.002159543,0.003873721],"category_scores_gemma":[0.1042387,0.0009023744,0.004102855,0.002764029,0.002045694,0.002423012,0.002677396,0.003722409,0.0008650125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009312814,"about_ca_system_score_gemma":0.001533454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388007,"about_ca_topic_score_gemma":0.001625757,"domain_scores_codex":[0.9512286,0.03966036,0.001168345,0.004291703,0.002758521,0.0008924671],"domain_scores_gemma":[0.8345485,0.1541889,0.003801306,0.00480773,0.001843003,0.0008106416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001716594,0.0009720306,0.1010727,0.0006748011,0.006915106,0.001340267,0.0009386134,0.690754,0.007461508,0.0513457,0.004204785,0.1326039],"study_design_scores_gemma":[0.00008045503,0.0006307474,0.007829711,0.00003351994,0.0002697878,0.0002523433,0.0001241737,0.9503829,0.001389732,0.03752124,0.001399272,0.00008608236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0773928,0.0003086901,0.9188538,0.0003489846,0.00009333929,0.0002994081,0.0006981746,0.0008837355,0.001120955],"genre_scores_gemma":[0.593092,0.0003286076,0.4006234,0.0003353516,0.0001452777,0.001332626,0.002356204,0.0003438281,0.001442765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04657119,"threshold_uncertainty_score":0.246295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635226709220338,"score_gpt":0.285890504062962,"score_spread":0.2695382369707586,"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."}}