{"id":"W4380149462","doi":"10.1016/j.jval.2023.03.2536","title":"EE558 Key Methodological Considerations for Developing Cost-Offset Budget Impact Models for a Range of Medical Technologies and Cost Perspectives in Ophthalmology","year":2023,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"EVERSANA (Canada)","funders":"","keywords":"Activity-based costing; Offset (computer science); Key (lock); Health technology; Computer science; Management science; Risk analysis (engineering); Operations research; Business; Engineering; Economics; Marketing; Health care; Computer security","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":[0.05214296,0.001114013,0.001333691,0.00246972,0.0008928116,0.006704124,0.003470262,0.002651782,0.0144325],"category_scores_gemma":[0.1993705,0.001001957,0.002327697,0.003603377,0.001470521,0.005256427,0.002201485,0.00669391,0.001370572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141009,"about_ca_system_score_gemma":0.004635301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107622,"about_ca_topic_score_gemma":0.01283848,"domain_scores_codex":[0.9678573,0.02766826,0.001322859,0.0007441771,0.002014341,0.0003931056],"domain_scores_gemma":[0.9278326,0.06012228,0.002329119,0.003328073,0.006073977,0.0003139092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001265082,0.0001295915,0.001604549,0.0003087643,0.0003657643,0.0001234667,0.0001746216,0.1237737,0.0003122089,0.8120607,0.01059578,0.05042435],"study_design_scores_gemma":[0.0001603376,0.00006577971,0.001136084,0.0006162739,0.0002237379,0.0001000059,0.0002616388,0.1947283,0.0008030279,0.7696159,0.03222585,0.00006303961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004106431,0.0008613616,0.972603,0.009069499,0.0003656533,0.0005458305,0.0008390828,0.00007309559,0.01153613],"genre_scores_gemma":[0.18021,0.001868405,0.795303,0.003665904,0.0006366013,0.003792074,0.001235953,0.0002612163,0.01302688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05214296,"threshold_uncertainty_score":0.2757617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8183538183289807,"score_gpt":0.5655483587990042,"score_spread":0.2528054595299765,"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."}}