{"id":"W6960821688","doi":"10.1371/journal.pone.0181172.t003","title":"Performance of measles IgM serology test using linked dataset, Ontario, Canada, 2009–2014.","year":2017,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serology; Measles; Antibody; Test (biology); Immunoglobulin M; Measles vaccine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180799,0.002253422,0.00175374,0.002754957,0.00163419,0.002218794,0.004016307,0.001847565,0.01475354],"category_scores_gemma":[0.008126173,0.0007150774,0.00204711,0.005615261,0.0008180871,0.001003118,0.001499043,0.0015558,0.01331095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01712764,"about_ca_system_score_gemma":0.02541724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9416933,"about_ca_topic_score_gemma":0.9779589,"domain_scores_codex":[0.9987555,0.0000847736,0.00008638611,0.0003511052,0.0004820869,0.0002401169],"domain_scores_gemma":[0.9957385,0.0004970124,0.0002710996,0.0005237011,0.002514312,0.0004553215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001509378,0.00001949245,0.01060247,0.0005063131,0.0001789452,0.00002605022,0.00002617918,0.001030026,0.00009895847,0.0002739629,0.9843318,0.002754763],"study_design_scores_gemma":[0.0009495417,0.00005309839,0.1738871,0.00111649,0.0006298633,0.0001996241,0.0003770369,0.006039662,0.001142066,0.002050367,0.8133803,0.0001749129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007835531,0.0002528206,0.00005359784,0.000139021,0.00003240649,0.00001024659,0.9977155,0.0002626723,0.0007502386],"genre_scores_gemma":[0.002624185,0.0001375364,0.0002387925,0.00006262696,0.00001148521,0.00002978791,0.995742,0.00005677187,0.001096736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05830669,"threshold_uncertainty_score":0.1242703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230168029724539,"score_gpt":0.2686043109281718,"score_spread":0.2363026306309264,"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."}}