{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003307981,0.001024676,0.001066242,0.001316927,0.000735083,0.001099462,0.001935982,0.001594043,0.005197468],"category_scores_gemma":[0.01962215,0.0008694548,0.001338304,0.001368337,0.0007541293,0.002187436,0.002614251,0.00225609,0.001003146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006829274,"about_ca_system_score_gemma":0.002010968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00644061,"about_ca_topic_score_gemma":0.008435821,"domain_scores_codex":[0.998791,0.0006298217,0.00006976608,0.0002383677,0.0001712615,0.00009976684],"domain_scores_gemma":[0.9900538,0.007322667,0.0005470399,0.001022008,0.0007232925,0.0003312119],"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":[0.0002488346,0.0001541026,0.003999745,0.0002720824,0.0002429702,0.000348545,0.0003588487,0.7595328,0.001431169,0.06125034,0.008387796,0.1637727],"study_design_scores_gemma":[0.00003707375,0.00002037823,0.0003546464,0.00001215988,0.000008660219,0.00004297642,0.00005004086,0.9445563,0.0002507805,0.05380624,0.00084864,0.0000121758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02461173,0.0002086352,0.9728428,0.0005695674,0.00004667011,0.00008573703,0.0004975952,0.0004228887,0.0007143836],"genre_scores_gemma":[0.185128,0.0002657723,0.8081956,0.000279197,0.000105122,0.0004342126,0.002251541,0.000246874,0.003093576],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00644061,"threshold_uncertainty_score":0.0174945,"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."}}