{"id":"W2462275976","doi":"10.1016/j.pt.2016.06.002","title":"Microsporidia–Emergent Pathogens in the Global Food Chain (Trends in Parasitology 32, 336–348; April 2, 2016)","year":2016,"lang":"en","type":"erratum","venue":"Trends in Parasitology","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; University of British Columbia","keywords":"Microsporidia; Food chain; Agriculture; Food security; Food processing; Political science; Library science; Biology; Ecology; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001310063,0.0008263821,0.001391989,0.0005295658,0.0001906669,0.00006017281,0.001895037,0.002056971,0.003197466],"category_scores_gemma":[0.0001416108,0.0003268423,0.0003923881,0.003200571,0.0005653103,0.00009085375,0.0003005531,0.001901193,0.0002198853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003804857,"about_ca_system_score_gemma":0.0001176977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003839879,"about_ca_topic_score_gemma":0.169081,"domain_scores_codex":[0.9929688,0.001633949,0.001188112,0.001388765,0.0006125232,0.002207847],"domain_scores_gemma":[0.998226,0.0006927356,0.0003677358,0.0004298278,0.00008202837,0.000201705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004157322,0.0007482696,0.5451283,0.00003893862,0.00008156455,0.001638953,0.0003634784,0.000008841538,0.0004743226,0.001942527,0.3120893,0.1370698],"study_design_scores_gemma":[0.0008166856,0.0009132813,0.7990746,0.0001329111,0.00003025599,0.000241814,0.0001472393,0.00002794853,0.00002720195,0.002986019,0.1949056,0.0006963851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8727468,0.01028344,0.000002206168,0.01531223,0.01903628,0.0006036721,0.001581069,0.0001334609,0.0803009],"genre_scores_gemma":[0.9712198,0.002946677,0.00002659898,0.0005837481,0.003897919,0.0003579899,0.002645849,0.00001370746,0.01830776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2539464,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03862372221872203,"score_gpt":0.3425822702595868,"score_spread":0.3039585480408648,"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."}}