{"id":"W4413358116","doi":"10.5334/ijic.nacic24210","title":"Addressing Health Inequities in Action: Population Health Improvements in Cervical Screening","year":2025,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cervical screening; Medicine; Health care; Population; Population health; Action (physics); Nursing; Environmental health; Political science; Cervical cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007787287,0.000580269,0.0003983953,0.001011279,0.003892515,0.004050672,0.001497482,0.003003754,0.008365259],"category_scores_gemma":[0.01063565,0.0001864916,0.0005724328,0.0009658429,0.003670034,0.00293668,0.007265091,0.002968052,0.0004045029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01360171,"about_ca_system_score_gemma":0.0697505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2192414,"about_ca_topic_score_gemma":0.3870768,"domain_scores_codex":[0.9948316,0.002298384,0.00009584514,0.0002736182,0.0008745483,0.001626045],"domain_scores_gemma":[0.9959198,0.0007565297,0.0003591012,0.0001205098,0.0007151028,0.002128903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001618001,0.001340209,0.06773663,0.004174167,0.0002072987,0.0007026628,0.02558422,0.002922447,0.001519471,0.05435158,0.2115108,0.6297888],"study_design_scores_gemma":[0.0003406699,0.001423194,0.3864187,0.00743016,0.0003486139,0.0005024984,0.08099604,0.004730877,0.001415733,0.06834126,0.44791,0.0001422102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09706378,0.0137154,0.00680907,0.7703332,0.001836875,0.001115365,0.0009310676,0.0003898019,0.1078054],"genre_scores_gemma":[0.915483,0.007498208,0.01087132,0.05467006,0.0007845433,0.0007926622,0.0003490166,0.00003654244,0.009514769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2192414,"threshold_uncertainty_score":0.4359306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1337078276958817,"score_gpt":0.4574073737306131,"score_spread":0.3236995460347314,"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."}}