{"id":"W4401518102","doi":"10.57264/cer-2024-0061","title":"The maze of real-world evidence frameworks: from a desert to a jungle! An environmental scan and comparison across regulatory and health technology assessment agencies","year":2024,"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":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jungle; Medicine; Desert (philosophy); Real world evidence; Environmental resource management; Environmental planning; Geography; Archaeology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5833259,0.001688443,0.006351335,0.05918004,0.008127576,0.04721424,0.007034738,0.01083003,0.002852232],"category_scores_gemma":[0.7536618,0.003642294,0.004739353,0.04706966,0.02822718,0.05939742,0.01834901,0.01686835,0.0008639329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03238318,"about_ca_system_score_gemma":0.08009516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009068872,"about_ca_topic_score_gemma":0.01538363,"domain_scores_codex":[0.2804052,0.4857006,0.1041543,0.01777105,0.108126,0.003842882],"domain_scores_gemma":[0.06888565,0.8159786,0.03375604,0.02084674,0.0584922,0.002040825],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005413169,0.0002298669,0.009365506,0.07517448,0.001896097,0.000484931,0.02753755,0.002166932,0.0007553434,0.2607952,0.06024739,0.5608054],"study_design_scores_gemma":[0.0004020752,0.0004850119,0.01032577,0.2703608,0.001506592,0.0009345212,0.04133912,0.002209063,0.000815423,0.2879712,0.3831446,0.0005059138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0148239,0.4233663,0.04736011,0.4842417,0.004368525,0.001666593,0.002632566,0.0002797379,0.02126057],"genre_scores_gemma":[0.3213102,0.2242395,0.2879609,0.1483244,0.004302788,0.008281053,0.003274966,0.0007507423,0.001555584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4166741,"threshold_uncertainty_score":0.5138334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5807403555675743,"score_gpt":0.6226783898007007,"score_spread":0.04193803423312636,"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."}}