{"id":"W4415260542","doi":"10.57264/cer-2025-0149","title":"R WE ready for reimbursement? A round-up of developments in real-world evidence relating to health technology assessment: part 22","year":2025,"lang":"en","type":"article","venue":"Journal of Comparative Effectiveness Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Public Health Ontario","funders":"","keywords":"Formulary; Health technology; Clinical trial; Health information technology; Health economics; MEDLINE; Comparative effectiveness research; Health data","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07541417,0.000184435,0.001906904,0.003923959,0.0002789594,0.00006446639,0.0005597031,0.0001134343,0.00002823047],"category_scores_gemma":[0.005976022,0.0002091666,0.000108984,0.002271477,0.0001368038,0.0005494895,0.0001559418,0.0007189643,0.00003373601],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004131789,"about_ca_system_score_gemma":0.002381071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007559458,"about_ca_topic_score_gemma":0.0007643236,"domain_scores_codex":[0.990583,0.003017128,0.004959819,0.0004822588,0.0003330203,0.0006247782],"domain_scores_gemma":[0.984301,0.01149878,0.002697909,0.0003645311,0.0009768348,0.0001609359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008940831,0.0004474379,0.4667166,0.002614346,0.0003658622,0.000002957113,0.004235467,0.002196875,0.0001799896,0.5088335,0.01178816,0.001724617],"study_design_scores_gemma":[0.006393571,0.002929863,0.7787765,0.02130383,0.00001540603,0.000007063689,0.01363081,0.002936491,0.001112102,0.1090611,0.06326471,0.0005684982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148245,0.005765086,0.0290007,0.03762803,0.001195499,0.005045008,0.00006559729,0.00001916029,0.00645636],"genre_scores_gemma":[0.9909728,0.0004976895,0.006847228,0.0002435001,0.00008404356,0.0004576658,0.000004163265,0.00001679373,0.0008761284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3997724,"threshold_uncertainty_score":0.9996912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.744417899109262,"score_gpt":0.6539982115717788,"score_spread":0.0904196875374832,"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."}}