{"id":"W4312069236","doi":"10.21203/rs.3.rs-2392647/v1","title":"Benefits, harms and cost-effectiveness of cervical screening and treatment in 78 low-income and lower-middle income countries for women in the general population: modelling to support updated WHO cervical screening and treatment guidelines to prevent cervical cancer","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact; Hospital for Sick Children","funders":"","keywords":"Medicine; Low income; Low and middle income countries; Cost effectiveness; Population; Environmental health; Developing country; Economics; Socioeconomics; Economic growth; Risk analysis (engineering)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004521743,0.001150952,0.001991299,0.001267873,0.0003953825,0.002158507,0.001481337,0.0025032,0.008137192],"category_scores_gemma":[0.0156155,0.0009527734,0.004601613,0.001794672,0.001110172,0.001710618,0.001178933,0.001979254,0.000447006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003990792,"about_ca_system_score_gemma":0.002157464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06755196,"about_ca_topic_score_gemma":0.0348061,"domain_scores_codex":[0.9981459,0.001299408,0.00006713323,0.000129426,0.00007773374,0.000280489],"domain_scores_gemma":[0.9873651,0.01136436,0.0004443509,0.0001993459,0.0003155755,0.0003113551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002495269,0.0003339332,0.03142375,0.0005519296,0.001646509,0.0002399265,0.0001465496,0.9492044,0.000129856,0.005000829,0.002122315,0.006704775],"study_design_scores_gemma":[0.003081598,0.002190275,0.06871836,0.0008677667,0.005599155,0.0006193534,0.002003066,0.885758,0.0003894812,0.02605623,0.004515674,0.0002011181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638841,0.006100678,0.00481144,0.003578218,0.0001610945,0.0003190665,0.00898916,0.00008294504,0.01207327],"genre_scores_gemma":[0.9921177,0.001297792,0.001782831,0.0002818748,0.00002760629,0.0001975916,0.001610654,0.00001967029,0.002664353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06755196,"threshold_uncertainty_score":0.1343176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1666463114967812,"score_gpt":0.4532995285861935,"score_spread":0.2866532170894123,"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."}}