{"id":"W4324137857","doi":"10.1136/oem-2023-epicoh.246","title":"P-340 Closing gaps for preventing cervical cancer among Urban: slum, non-slum, rural and tribal Indian homemakers and manual labourers – experiences of community research","year":2023,"lang":"en","type":"article","venue":"Abstracts","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cervical cancer; Medicine; Slum; Functional illiteracy; Socioeconomic status; Health care; Poverty; Reproductive health; Gerontology; Demography; Environmental health; Family medicine; Cancer; Population; Sociology; Economic growth","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":[0.002083093,0.0001834306,0.0002170006,0.0003576867,0.003897699,0.0016309,0.001083615,0.00085785,0.009274662],"category_scores_gemma":[0.003146599,0.0001428527,0.0003047818,0.0005525097,0.00128773,0.001322307,0.002277659,0.00112901,0.0006390343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006242055,"about_ca_system_score_gemma":0.006059038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01002466,"about_ca_topic_score_gemma":0.01616168,"domain_scores_codex":[0.9992645,0.0004363924,0.00002282674,0.00002535781,0.00008084028,0.0001699973],"domain_scores_gemma":[0.9983433,0.0005286183,0.0001782933,0.00004925158,0.0002258535,0.0006746266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001850956,0.002560114,0.1233031,0.004261144,0.00005723336,0.004625796,0.5597954,0.0001210389,0.003333576,0.006696816,0.05080301,0.2442577],"study_design_scores_gemma":[0.00002129633,0.0006851048,0.05010737,0.0009728081,0.00002446245,0.000694879,0.9079911,0.00008366504,0.0003297166,0.0009516907,0.03812313,0.00001484039],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416259,0.005855428,0.0003716286,0.02650391,0.0004067119,0.0004005128,0.0002309254,0.00003506131,0.02456998],"genre_scores_gemma":[0.9894201,0.003914338,0.0007717152,0.002255116,0.00009581759,0.0001653744,0.00008421911,0.000009378629,0.003284017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01002466,"threshold_uncertainty_score":0.03102684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06956824235476364,"score_gpt":0.4240961387236103,"score_spread":0.3545278963688466,"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."}}