{"id":"W2123504518","doi":"10.1586/14737167.2014.950233","title":"Generating appropriate clinical data for value assessment of medical devices: what role does regulation play?","year":2014,"lang":"en","type":"review","venue":"Expert Review of Pharmacoeconomics & Outcomes Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Technology Assessment international; European Commission","keywords":"Health technology; Risk analysis (engineering); Order (exchange); Value (mathematics); Business; Medicine; Computer science; Health care; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3240042,0.001309076,0.008754897,0.008868303,0.001136153,0.01082627,0.005284887,0.008048766,0.005767472],"category_scores_gemma":[0.5560661,0.001341384,0.005259478,0.0134681,0.006616001,0.01452869,0.00469383,0.007111611,0.001356921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006420162,"about_ca_system_score_gemma":0.0310907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005132696,"about_ca_topic_score_gemma":0.004922814,"domain_scores_codex":[0.6265936,0.2675474,0.04720566,0.007514713,0.04943283,0.001705757],"domain_scores_gemma":[0.2246084,0.6901171,0.03915426,0.01604533,0.02931283,0.0007621605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004948974,0.0002180245,0.006860598,0.1719013,0.003539634,0.0002001487,0.001430031,0.002891721,0.0003903124,0.1215648,0.02632552,0.664183],"study_design_scores_gemma":[0.001114314,0.0003952102,0.01255816,0.5366355,0.004904183,0.0006077812,0.001727322,0.002632986,0.001555107,0.1598735,0.2777353,0.0002606194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004220384,0.8291206,0.04955918,0.0915532,0.002249039,0.002320874,0.004892866,0.00009303206,0.01599078],"genre_scores_gemma":[0.1518416,0.7049432,0.08553248,0.03820672,0.003365917,0.01080256,0.004188922,0.0001851601,0.0009334313],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3240042,"threshold_uncertainty_score":0.8336232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.581421447728661,"score_gpt":0.7115769387593235,"score_spread":0.1301554910306625,"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."}}