{"id":"W3012186082","doi":"10.1089/cmb.2019.0440","title":"Kinship Solutions for Partially Observed Multiphenotype Data","year":2020,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Library science; License; Download; Computer science; World Wide Web","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":[0.0002284449,0.00008753289,0.0001506567,0.00001924902,0.00007147711,0.00000971742,0.000427511,0.00009411516,0.00001520687],"category_scores_gemma":[0.0004008739,0.00007683585,0.00007623251,0.00004510267,0.00007507658,0.000004922425,0.0001397949,0.00008107964,0.000004489103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004181907,"about_ca_system_score_gemma":0.0002315345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.487156e-7,"about_ca_topic_score_gemma":0.000003217309,"domain_scores_codex":[0.9991768,0.00007162401,0.00033539,0.0001801449,0.00007062926,0.0001654223],"domain_scores_gemma":[0.9991981,0.00009984915,0.0002149455,0.0001359921,0.0002456155,0.0001054512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003146252,0.0005320476,0.01370522,0.000106213,0.001183671,0.000003063881,0.0005252801,0.6171331,0.1494908,0.1100163,0.0720526,0.03210539],"study_design_scores_gemma":[0.01055159,0.0129629,0.2528129,0.0000438994,0.0003879961,0.0001986227,0.0002752461,0.03454685,0.004759335,0.207538,0.4748386,0.001084137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1508594,0.000901501,0.8440179,0.00344599,0.0003724464,0.0001345479,0.0001921719,0.000004959536,0.00007109682],"genre_scores_gemma":[0.8207237,0.000009336932,0.1768435,0.001054383,0.0009227598,0.000001981705,0.000423935,0.000008401137,0.00001199046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6698643,"threshold_uncertainty_score":0.3133275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1625208454262988,"score_gpt":0.3215490140617139,"score_spread":0.1590281686354152,"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."}}