{"id":"W4360999208","doi":"10.1016/j.jval.2023.03.009","title":"Frameworks for Health Technology Assessment at an Early Stage of Product Development: A Review and Roadmap to Guide Applications","year":2023,"lang":"en","type":"review","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital; Centre for Advancing Health Outcomes; University of British Columbia","funders":"NanoMedicines Innovation Network","keywords":"Terminology; Scope (computer science); Health technology; Multidisciplinary approach; Stakeholder; Computer science; New product development; Process (computing); Management science; Relevance (law); Process management; Product (mathematics); Knowledge management; Data science; Health care; Engineering; Business; Political science","routes":{"ca_aff":true,"ca_fund":true,"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","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.03491106,0.0004406836,0.005607638,0.001491341,0.0002936468,0.0000332506,0.0005918925,0.0004657005,0.00003304077],"category_scores_gemma":[0.001785098,0.0005346341,0.0001607868,0.001310564,0.00006301851,0.0001388131,0.0002125156,0.0006531119,0.0002462249],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004068918,"about_ca_system_score_gemma":0.004246432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002521675,"about_ca_topic_score_gemma":0.0005166782,"domain_scores_codex":[0.9851122,0.0008158393,0.01165064,0.001453601,0.0001303684,0.0008372788],"domain_scores_gemma":[0.990051,0.001052832,0.007050319,0.00129106,0.0001042483,0.0004505535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002764169,0.0001898442,0.0008280206,0.6498416,0.0001412733,3.137679e-7,0.0008431795,0.00007584468,5.291554e-9,0.08878537,0.01093623,0.2483556],"study_design_scores_gemma":[0.0001642357,0.0001946077,0.0002417955,0.02717089,0.00001510444,0.000003153755,0.00007818939,0.00006928243,2.093044e-8,0.001065204,0.9706382,0.0003592866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002529681,0.9391302,0.005223325,0.03773221,0.0001905926,0.0161898,0.001367795,0.00009091513,0.00004990481],"genre_scores_gemma":[0.000001964315,0.9296677,0.05347918,0.006524116,0.0001197713,0.008553775,0.0002748611,0.0001155387,0.001263116],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.959702,"threshold_uncertainty_score":0.9997543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5853200366028672,"score_gpt":0.5640251301456641,"score_spread":0.02129490645720311,"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."}}