{"id":"W4416623433","doi":"10.5256/f1000research.1856.r1261","title":"Referee report. For: Systematic assessment of benefits and risks: study protocol for a multi-criteria decision analysis using the Analytic Hierarchy Process for comparative effectiveness research [v1; indexed, http://f1000r.es/1fk]","year":2013,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hamilton Health Sciences Foundation; U.S. Department of Health and Human Services","keywords":"Analytic hierarchy process; Protocol (science); Decision analysis; Process (computing); Protocol analysis; Hierarchy; Decision theory; Multiple-criteria decision analysis; Analytic network process","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07137216,0.0003274506,0.001548099,0.001929689,0.002099935,0.0005259989,0.001710472,0.000278818,0.0000324367],"category_scores_gemma":[0.01491726,0.0002227829,0.0003766906,0.004401286,0.00169128,0.000517153,0.0005965454,0.0007450226,0.000001735588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008129557,"about_ca_system_score_gemma":0.001542457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00701492,"about_ca_topic_score_gemma":0.00452534,"domain_scores_codex":[0.984242,0.006519763,0.001577262,0.001091572,0.005214719,0.001354663],"domain_scores_gemma":[0.9606039,0.01723622,0.0006781775,0.001119721,0.02003976,0.0003222642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01944807,0.02702811,0.4461663,0.2383272,0.0184052,0.00009339426,0.1646858,0.01115598,0.02713179,0.02032036,0.008613919,0.01862394],"study_design_scores_gemma":[0.0174532,0.01220481,0.1276659,0.02863672,0.001257014,0.00001642329,0.2423615,0.5392239,0.01034899,0.01819705,0.001074067,0.001560405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5038003,0.00003696842,0.02913137,0.0004111258,0.0000194948,0.4661752,0.0003032389,0.00004031107,0.00008199497],"genre_scores_gemma":[0.614351,0.000003152986,0.007809224,0.000001342217,0.0000385694,0.3775533,0.00003061783,0.00002903848,0.0001837377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5280679,"threshold_uncertainty_score":0.9995974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5494825154247633,"score_gpt":0.6544312820226553,"score_spread":0.104948766597892,"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."}}