{"id":"W2912130663","doi":"10.1007/s10592-019-01144-w","title":"Correction to: The International Mouse Phenotyping Consortium (IMPC): a functional catalogue of the mammalian genome that informs conservation","year":2019,"lang":"en","type":"article","venue":"Conservation Genetics","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Toronto Centre for Phenogenomics; Mount Sinai Hospital","funders":"","keywords":"Biology; Biodiversity; Genome; Computational biology; Library science; Evolutionary biology; Bioinformatics; Genetics; Ecology; Gene; Computer science","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":[0.003736244,0.001730419,0.001287079,0.003228043,0.003059204,0.00312474,0.002802658,0.004702865,0.06584055],"category_scores_gemma":[0.05899324,0.0008883274,0.001136085,0.002378571,0.00228809,0.002064194,0.002152073,0.009360068,0.04039384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003234962,"about_ca_system_score_gemma":0.004848512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01712117,"about_ca_topic_score_gemma":0.01614021,"domain_scores_codex":[0.9958538,0.0006595452,0.0006322034,0.0006531475,0.001861528,0.0003397699],"domain_scores_gemma":[0.9652641,0.008376392,0.001873131,0.002285663,0.02044429,0.001756318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003171086,0.000003970795,0.00006759127,0.00007271215,0.00000871092,0.0001491757,0.00004303453,0.00003631264,0.00008513202,0.000811286,0.9939333,0.004757151],"study_design_scores_gemma":[0.00002702662,0.00001313325,0.0005855253,0.0002103017,0.00002388929,0.0005236863,0.00006600368,0.0001789136,0.0003654551,0.001266011,0.9967069,0.00003310537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003835708,0.0009094329,0.00231148,0.0775261,0.9111089,0.00002394291,0.002856492,0.001167686,0.003712342],"genre_scores_gemma":[0.03396307,0.007908382,0.01807655,0.1611142,0.3896171,0.0003425886,0.01239533,0.007046434,0.3695362],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.06584055,"threshold_uncertainty_score":0.2202585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213119763236529,"score_gpt":0.2412498040870235,"score_spread":0.2199378277633706,"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."}}