{"id":"W4381470523","doi":"10.1111/jvh.13866","title":"Migrants and hepatitis: A tale of two worlds","year":2023,"lang":"en","type":"letter","venue":"Journal of Viral Hepatitis","topic":"Hepatitis C virus research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Computational biology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007550567,0.0004441811,0.001753644,0.001318597,0.00007824336,0.00006362284,0.000375588,0.0006168343,0.0004831455],"category_scores_gemma":[0.0006196109,0.0003884288,0.0005449543,0.0005765295,0.0003830999,0.0002707372,0.0001821839,0.003177625,0.000118855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002607264,"about_ca_system_score_gemma":0.0006187451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007775793,"about_ca_topic_score_gemma":0.002105521,"domain_scores_codex":[0.9950231,0.0003003246,0.001613582,0.000367636,0.002016806,0.0006785549],"domain_scores_gemma":[0.9968479,0.0004196356,0.001075738,0.0004838258,0.000859985,0.0003128934],"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":[0.0001019369,0.00006929438,0.2189822,0.000928086,0.0004724006,0.01269382,0.0001859555,7.167406e-7,0.0003761369,0.000008388792,0.7442449,0.02193612],"study_design_scores_gemma":[0.006109312,0.004793721,0.1154251,0.008209049,0.0009363124,0.002120752,0.00002272051,0.000363096,0.001368766,0.001166255,0.8586682,0.000816713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6999093,0.00526968,0.0001344324,0.2852134,0.002327164,0.00124568,0.001069299,0.00009852028,0.004732576],"genre_scores_gemma":[0.5639104,0.0834531,0.007900076,0.286035,0.02317742,0.00009280712,0.0005111233,0.0009499585,0.03397016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1359989,"threshold_uncertainty_score":0.9998568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080635209957123,"score_gpt":0.3382677723180245,"score_spread":0.3074614202184532,"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."}}