{"id":"W1592777669","doi":"10.1007/bf03405441","title":"Immigrant women and cervical cancer screening uptake: a multilevel analysis.","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Immigration; Pap test; Demography; Cervical cancer; Multilevel model; Census; Marital status; Ethnic group; Logistic regression; Neighbourhood (mathematics); Metropolitan area; Public health; Medicine; American Community Survey; Gerontology; Geography; Environmental health; Cancer; Cervical cancer screening; Population; Sociology; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.0002781126,0.000149811,0.0004238984,0.0001747013,0.0001329888,0.00001754423,0.00008127924,0.00007928403,0.0001227464],"category_scores_gemma":[0.00009203915,0.0001254012,0.0001189639,0.0005369234,0.0001012747,0.0001114822,0.00005428541,0.0001806747,0.000004058136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319901,"about_ca_system_score_gemma":0.00004772718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276798,"about_ca_topic_score_gemma":0.0002660307,"domain_scores_codex":[0.9984153,0.00002219153,0.0002565095,0.0003423375,0.0003789846,0.0005846752],"domain_scores_gemma":[0.9991614,0.00003269075,0.0000650551,0.0002125912,0.00008629378,0.0004419893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004062331,0.00004195063,0.7303286,0.00002790606,0.0008140521,0.0002162321,0.001604479,0.00007514249,0.00003572498,0.00002246542,0.0006720399,0.2657551],"study_design_scores_gemma":[0.001069946,0.00002587802,0.9919862,0.00001264958,0.0002806136,0.00008417509,0.0002519772,0.001356223,0.00005768087,0.00001388201,0.004724407,0.000136344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952386,0.001634359,0.0008221287,0.0008966342,0.00005021164,0.0003794158,0.00001633065,0.00006678115,0.0008955645],"genre_scores_gemma":[0.9948948,0.0002639745,0.000918402,0.001617857,0.0001708297,0.001025726,0.000008073079,0.00001338355,0.001086933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2656188,"threshold_uncertainty_score":0.5113714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09950078075368934,"score_gpt":0.3043415265966837,"score_spread":0.2048407458429943,"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."}}