{"id":"W6991726682","doi":"","title":"Income, Patient Enrolment Model and Cervical Cancer screening uptake within the Central East Local Health Integration Network","year":2018,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Population; Logistic regression; Cervical cancer; Socioeconomic status; Cancer screening","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002157989,0.0002342142,0.0003103752,0.0005144099,0.0007202118,0.001018911,0.000887377,0.0003138258,0.002945077],"category_scores_gemma":[0.007176413,0.0001826971,0.0007651891,0.001026418,0.0004354055,0.0005404346,0.0009415842,0.0005090163,0.0001759443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006312779,"about_ca_system_score_gemma":0.005519577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7177205,"about_ca_topic_score_gemma":0.7782502,"domain_scores_codex":[0.9986154,0.0005041332,0.00007031525,0.0001667807,0.00022766,0.0004157446],"domain_scores_gemma":[0.9967078,0.0009997301,0.001030917,0.0001739727,0.0003454927,0.0007419589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001632988,0.00005062947,0.9973382,0.0000143924,0.000065365,0.00003443593,0.0003839879,0.0002219484,0.00002212785,0.00008053453,0.0003752008,0.001249877],"study_design_scores_gemma":[0.00000926726,0.0001072962,0.9965031,0.00002512305,0.00005302688,0.00002555041,0.001291221,0.001525078,0.00002362302,0.00004039416,0.0003909156,0.00000530695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979893,0.000104907,0.00008943937,0.0001738119,0.000004689864,0.00002602015,0.000679385,0.000004978461,0.0009275683],"genre_scores_gemma":[0.998923,0.00003606074,0.00006565775,0.00002221581,0.000003138587,0.00002245184,0.0004198505,0.000002468331,0.0005051795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2822795,"threshold_uncertainty_score":0.5678837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967148637681256,"score_gpt":0.2486551481958006,"score_spread":0.2289836618189881,"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."}}