{"id":"W4392453894","doi":"10.1097/hep.0000000000000824","title":"Hepatitis C elimination: Tailoring the approach to each country’s needs and realities","year":2024,"lang":"en","type":"letter","venue":"Hepatology","topic":"Hepatitis C virus research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Hepatitis C; Transmission (telecommunications); Harm; Medicine; Environmental health; Economic growth; Business; Development economics; Political science; Virology; Economics; Law; Computer science","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":[0.0005188758,0.0004184969,0.0008230027,0.0007388076,0.0001862248,0.0001463392,0.0003238162,0.0009832119,0.0001704801],"category_scores_gemma":[0.0003420143,0.0003099433,0.0001099716,0.0006615226,0.0004147801,0.00006421628,0.0003511499,0.002845052,0.0004138529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989484,"about_ca_system_score_gemma":0.0003908953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004548611,"about_ca_topic_score_gemma":0.0004163197,"domain_scores_codex":[0.9969166,0.0003148992,0.0004899045,0.0006681579,0.0008017506,0.0008086823],"domain_scores_gemma":[0.9983186,0.000412198,0.00007509781,0.000798467,0.0002279217,0.0001677458],"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":[0.00002405786,0.00001769828,0.01499029,0.001201503,0.0001840871,0.001004152,0.00136255,2.086834e-7,0.000005053035,0.003776699,0.9730962,0.004337527],"study_design_scores_gemma":[0.0002274173,0.0001933408,0.0007529643,0.000174722,0.0001948301,0.0009199449,0.0001677209,0.0009785597,0.00001767076,0.0002781397,0.9958147,0.0002799879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006125914,0.002625254,0.0001640746,0.8802291,0.0008842463,0.001258458,0.000206102,0.0002054923,0.1083014],"genre_scores_gemma":[0.0584743,0.004718289,0.0007402028,0.8842191,0.006515568,0.0012612,0.001322986,0.0002633339,0.04248499],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06581639,"threshold_uncertainty_score":0.9999353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04811388624030614,"score_gpt":0.3103651516595718,"score_spread":0.2622512654192657,"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."}}