{"id":"W4214849723","doi":"10.2139/ssrn.4023197","title":"Elucidating Risk Factors and Identifying Communities Disproportionately Affected by the Cervical Cancer in the Russian Federation: A National Population-Based Study","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; McGill University","funders":"","keywords":"Russian federation; Cervical cancer; Population; Cancer; Environmental health; Political science; Demography; Medicine; Geography; Regional science; Internal medicine; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007142105,0.0001263247,0.0001978445,0.0001240046,0.002665909,0.000142802,0.0001599055,0.00003723332,0.0001132849],"category_scores_gemma":[0.0001320841,0.00007216202,0.00004977674,0.0003548198,0.00002122006,0.0001149167,0.00003082594,0.002901453,3.441291e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647662,"about_ca_system_score_gemma":0.004181359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0686178,"about_ca_topic_score_gemma":0.1005592,"domain_scores_codex":[0.9957179,0.002021672,0.0004878442,0.0001291826,0.0008977846,0.0007455973],"domain_scores_gemma":[0.9991047,0.000327338,0.00028775,0.0001312076,0.00007744884,0.00007153796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003847741,0.0002219204,0.9843324,0.00002385444,0.00007120767,0.000002130341,0.00559687,0.0001792083,0.000003123151,0.006667741,0.00004124717,0.002821758],"study_design_scores_gemma":[0.001012105,0.0004268854,0.9133596,0.00002460171,0.00002605968,0.0001554557,0.07963943,0.002003687,5.698149e-7,0.00302612,0.0002422157,0.00008326727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822155,0.00105197,0.0003329821,0.0153913,0.0001244366,0.0007622985,0.00003593881,0.00001659991,0.0000690106],"genre_scores_gemma":[0.9988543,0.0001056525,0.000004296136,0.000571673,0.000171697,0.0001327285,0.00010141,0.00001547645,0.00004272407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07404255,"threshold_uncertainty_score":0.9993989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03900489912838768,"score_gpt":0.3591642630928291,"score_spread":0.3201593639644414,"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."}}