{"id":"W4226145697","doi":"10.2139/ssrn.4058143","title":"Comprehensive Approach to Costing Cervical Cancer Prevention and Control: A Case Study in the United Republic of Tanzania Using the Cervical Cancer Prevention and Control Costing (C4P) Tool","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Tanzania; Activity-based costing; Cervical cancer; Medicine; Control (management); Cancer; Gynecology; Business; Accounting; Socioeconomics; Economics; Internal medicine; Management","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":[0.001296017,0.0003828284,0.0002802185,0.001148548,0.001820908,0.0009233676,0.0007676296,0.0008967086,0.002534814],"category_scores_gemma":[0.004227784,0.0003178377,0.0004115174,0.001721515,0.0006660307,0.000596143,0.001353552,0.0009316182,0.00007255275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003525014,"about_ca_system_score_gemma":0.003459504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1032496,"about_ca_topic_score_gemma":0.1768664,"domain_scores_codex":[0.9990585,0.0005070701,0.00004434817,0.00004379744,0.00008302825,0.0002632796],"domain_scores_gemma":[0.9982213,0.0008256235,0.0003488357,0.00008907197,0.0001982286,0.000316983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006761512,0.004045476,0.8249308,0.0005459895,0.0002575988,0.03226152,0.02266985,0.00581098,0.002172757,0.007087853,0.003354663,0.09618625],"study_design_scores_gemma":[0.0001806789,0.002713234,0.8499619,0.0007053638,0.0004606349,0.0154572,0.1044864,0.01713232,0.0008427908,0.002032664,0.005909733,0.0001171774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997987,0.0001877195,0.0002159339,0.0003807793,0.000003518536,0.00008405126,0.00005635239,0.000003076136,0.001081465],"genre_scores_gemma":[0.9990208,0.0001773087,0.0005243307,0.0000500227,0.000002169984,0.00002777468,0.00002398463,0.000001301304,0.0001723371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1032496,"threshold_uncertainty_score":0.2052972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0708918862917105,"score_gpt":0.3614279144222122,"score_spread":0.2905360281305017,"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."}}