{"id":"W2014578157","doi":"10.12688/f1000research.2-160.v1","title":"Systematic assessment of benefits and risks: study protocol for a multi-criteria decision analysis using the Analytic Hierarchy Process for comparative effectiveness research","year":2013,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hamilton Health Sciences Foundation; U.S. Department of Health and Human Services","keywords":"Analytic hierarchy process; Pairwise comparison; Protocol (science); Computer science; Context (archaeology); Risk analysis (engineering); Decision analysis; Process (computing); Hierarchy; Management science; Operations research; Medicine; Artificial intelligence; Mathematics; Engineering; Statistics","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":[0.1175853,0.00531927,0.01068244,0.007756939,0.00433852,0.005435219,0.003840873,0.00823197,0.05150962],"category_scores_gemma":[0.2017077,0.003787479,0.01085895,0.009288908,0.004358842,0.004479041,0.003888034,0.007364156,0.00832886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01332797,"about_ca_system_score_gemma":0.05010672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003881725,"about_ca_topic_score_gemma":0.005954136,"domain_scores_codex":[0.874818,0.0811381,0.02307264,0.005708869,0.01133791,0.003924483],"domain_scores_gemma":[0.886584,0.05339812,0.01984178,0.01336593,0.02312465,0.00368552],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1648426,0.009133842,0.003982726,0.412579,0.01079472,0.0012256,0.005728026,0.01295973,0.003123,0.03641436,0.06159924,0.2776172],"study_design_scores_gemma":[0.4051008,0.03525472,0.01354623,0.2355837,0.01127124,0.0006128452,0.003952091,0.01478065,0.006456197,0.03790778,0.2343912,0.00114253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.000295091,0.0002056167,0.001885113,0.00008716388,0.00007921617,0.9967264,0.0004797018,0.00002205053,0.0002196193],"genre_scores_gemma":[0.0002700342,0.00006618741,0.002239721,0.00002725164,0.000004885301,0.9973219,0.00003626059,0.000001494494,0.0000321745],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.8824146,"threshold_uncertainty_score":0.6218582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9021396037671123,"score_gpt":0.7155800561382437,"score_spread":0.1865595476288686,"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."}}