{"id":"W3031357444","doi":"10.1186/s12942-020-00212-6","title":"Risk of late cervical cancer screening in the Paris region according to social deprivation and medical densities in daily visited neighborhoods","year":2020,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Régionale de Santé Île-de-France","keywords":"Residence; Medicine; Demography; Social deprivation; Logistic regression; Cervical cancer; Pap test; Test (biology); Gerontology; Quarter (Canadian coin); Public health; Environmental health; Cervical cancer screening; Geography; Cancer; Nursing","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":[0.0002912839,0.0002228177,0.0001787249,0.001005627,0.0003437811,0.0006590686,0.00027838,0.0002666731,0.001753633],"category_scores_gemma":[0.001184673,0.0002169421,0.00033457,0.0007012061,0.0003849448,0.0002342971,0.0006598466,0.0002370053,0.0001599586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005631601,"about_ca_system_score_gemma":0.0003036611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03112495,"about_ca_topic_score_gemma":0.03076984,"domain_scores_codex":[0.9996824,0.00009800334,0.00001506539,0.00006988764,0.00005481015,0.00007985112],"domain_scores_gemma":[0.9992385,0.0001256205,0.0003157008,0.00004348546,0.00008604563,0.0001906988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004812844,0.00001275644,0.9986343,0.000004977875,0.00004045091,0.00006451763,0.0001441593,0.0001005559,0.00007990946,0.00002917412,0.0000839604,0.0007571855],"study_design_scores_gemma":[0.000001257646,0.0000240674,0.9994248,0.000002933237,0.000008221345,0.00006114069,0.0002283664,0.0001474401,0.00001129232,0.00001463808,0.000073467,0.000002410482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993367,0.0001031131,0.0000344947,0.00003506583,0.000001570039,0.000003415546,0.0001601608,0.000002501835,0.0003229527],"genre_scores_gemma":[0.9996874,0.00003984016,0.00002182767,0.000004883011,0.000002683594,0.000003713031,0.0001124369,7.485933e-7,0.0001263665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03112495,"threshold_uncertainty_score":0.06188756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04616442891147814,"score_gpt":0.387668352811555,"score_spread":0.3415039239000768,"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."}}