{"id":"W4250919986","doi":"10.21203/rs.3.rs-16099/v4","title":"Assessing and coping with the financial burden of Computed Tomography utilization in Limbe, Cameroon: a sequential explanatory mixed-methods study","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Computed tomography; Economics; Business; Medicine; Radiology","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":[0.005319905,0.001590163,0.0008823112,0.0008477924,0.00229165,0.001346568,0.001436455,0.001696158,0.003197568],"category_scores_gemma":[0.01050263,0.001521457,0.001412397,0.001201018,0.001704534,0.001505041,0.001755098,0.00188231,0.0003002509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002393157,"about_ca_system_score_gemma":0.003754739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04594015,"about_ca_topic_score_gemma":0.04490365,"domain_scores_codex":[0.9957208,0.002927264,0.0001819718,0.0003520249,0.0001202603,0.0006976902],"domain_scores_gemma":[0.9956585,0.002140888,0.001229505,0.0003386718,0.000267072,0.0003653349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002774519,0.006246158,0.9730206,0.0002028895,0.0005771581,0.0005088441,0.009025556,0.0006029818,0.0002648973,0.0006043809,0.000401516,0.005770511],"study_design_scores_gemma":[0.0007609554,0.006812427,0.9503027,0.0003479191,0.000754683,0.0003496166,0.03185859,0.006590393,0.0003058713,0.0008436675,0.0009708683,0.0001023508],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994061,0.00008253371,0.0001426845,0.0000731469,0.00000815061,0.0001216557,0.00007761877,8.032313e-7,0.00008732691],"genre_scores_gemma":[0.9984622,0.0001097545,0.0005236068,0.00006663654,0.000009565788,0.0004009196,0.0001362561,0.000001163483,0.0002899413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04594015,"threshold_uncertainty_score":0.09134549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314160322471954,"score_gpt":0.4786027745231893,"score_spread":0.3471867422759939,"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."}}