{"id":"W2806783869","doi":"10.1186/s40985-018-0093-8","title":"Assessing the value of screening tools: reviewing the challenges and opportunities of cost-effectiveness analysis","year":2018,"lang":"en","type":"review","venue":"Public health reviews","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Psychological intervention; MEDLINE; Cost–benefit analysis; Cost effectiveness; Population; Quality-adjusted life year; Discounting; Intensive care medicine; Risk analysis (engineering); Psychiatry; Environmental health","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.205834,0.002838951,0.01262324,0.01842934,0.001242826,0.01168165,0.005159134,0.005106125,0.004537645],"category_scores_gemma":[0.5285115,0.002056984,0.01455263,0.01423058,0.003305783,0.01138377,0.003612792,0.007188665,0.0003943192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02232887,"about_ca_system_score_gemma":0.02672614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008470649,"about_ca_topic_score_gemma":0.01206075,"domain_scores_codex":[0.8208463,0.1266738,0.02978777,0.00302497,0.01790979,0.00175746],"domain_scores_gemma":[0.2833715,0.6818617,0.01308502,0.00273295,0.01818266,0.0007660701],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007778629,0.0001050283,0.001687264,0.4396907,0.01602244,0.0001807474,0.0008338998,0.004483391,0.0001406151,0.02115056,0.007914677,0.5070128],"study_design_scores_gemma":[0.0003619104,0.0006628497,0.002577332,0.8729597,0.02736642,0.0002926541,0.001324905,0.003714365,0.0004053861,0.03816319,0.05202419,0.0001470114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008770613,0.9837589,0.003390089,0.009781326,0.0004986385,0.0004461567,0.0002114317,0.00001486827,0.001021576],"genre_scores_gemma":[0.03656947,0.9433186,0.01310591,0.003800042,0.0009904997,0.001824984,0.0002344028,0.0000435987,0.0001125036],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.794166,"threshold_uncertainty_score":0.9793481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6995942835097679,"score_gpt":0.5300858871313402,"score_spread":0.1695083963784277,"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."}}