{"id":"W3035764994","doi":"10.1038/s41436-020-0866-6","title":"Correction: Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes","year":2020,"lang":"en","type":"erratum","venue":"Genetics in Medicine","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa; Health Sciences Centre; Sunnybrook Health Science Centre; London Health Sciences Centre; University Health Network; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Crowdsourcing; Phenotype; Computer science; Computational biology; Information retrieval; Data science; World Wide Web; Biology; Genetics; Gene","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003684436,0.0004307913,0.000953557,0.001568635,0.0002048866,0.0003626792,0.001839974,0.0002641228,0.0006757152],"category_scores_gemma":[0.01551704,0.0003575739,0.00009070081,0.004458596,0.0003555944,0.0001098598,0.0007292183,0.001270023,0.0005992436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924538,"about_ca_system_score_gemma":0.0005167847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000487181,"about_ca_topic_score_gemma":0.002202215,"domain_scores_codex":[0.9928833,0.0003942731,0.001728088,0.001703425,0.002735089,0.000555775],"domain_scores_gemma":[0.9954907,0.001709528,0.0005875813,0.001572044,0.0003660183,0.0002741769],"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":[0.00002087027,0.00004584503,0.0006356448,0.00003184436,0.0000117511,0.00009232403,0.001512569,0.005309307,0.000006639436,0.0001346254,0.9407586,0.05143998],"study_design_scores_gemma":[0.000679512,0.0001671012,0.007556921,0.0007520975,0.00005925077,0.00000718127,0.003978356,0.04614021,0.000005938691,0.02644755,0.9138141,0.0003918113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002672395,0.01630747,0.01947656,0.05287286,0.4254267,0.001595625,0.00006589662,0.0003062097,0.4812763],"genre_scores_gemma":[0.1112994,0.007203493,0.004211455,0.006504243,0.009605862,0.00009738844,0.001405328,0.0001858896,0.8594869],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4158208,"threshold_uncertainty_score":0.9998876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111316422171649,"score_gpt":0.3980868463553162,"score_spread":0.2867704241836672,"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."}}