{"id":"W4252515173","doi":"10.26226/morressier.5ece532e3ae6b840e0eaaa86","title":"Assessing the value of real-world evidence in melanoma in health technology assessment appraisals","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Real world evidence; Health technology; Psychology; Medicine; Computer science; Economics; Health care; Economic growth; 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":[0.5407861,0.001561869,0.004722803,0.02546837,0.0009792718,0.02183361,0.002782581,0.004489375,0.004016829],"category_scores_gemma":[0.856321,0.001101676,0.005420675,0.02203465,0.005458177,0.01449751,0.007412611,0.006399108,0.0005111631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01251987,"about_ca_system_score_gemma":0.01549885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003069361,"about_ca_topic_score_gemma":0.00373238,"domain_scores_codex":[0.2851666,0.5776312,0.06113079,0.008155679,0.0655067,0.002409136],"domain_scores_gemma":[0.05745025,0.8573897,0.04949975,0.01093018,0.02370055,0.001029445],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006986778,0.0005022985,0.1495405,0.161339,0.08566278,0.0008343207,0.00563123,0.03836987,0.001059458,0.07869224,0.01213669,0.4592447],"study_design_scores_gemma":[0.003249432,0.004865972,0.1764811,0.3189478,0.06655189,0.002114692,0.004978808,0.03622018,0.004602193,0.2591075,0.1219075,0.0009730176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09338728,0.7226184,0.04940113,0.08468806,0.002845381,0.004270647,0.01006499,0.0001168861,0.03260726],"genre_scores_gemma":[0.8849114,0.06657809,0.03471687,0.006162731,0.002379724,0.002394589,0.002024123,0.00006348074,0.0007689031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4592139,"threshold_uncertainty_score":0.5662925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5856996108085591,"score_gpt":0.5592566657539653,"score_spread":0.02644294505459388,"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."}}