{"id":"W4327615869","doi":"10.7759/cureus.36210","title":"Critical Hierarchical Appraisal and repOrting tool for composite measureS (CHAOS)","year":2023,"lang":"en","type":"article","venue":"Cureus","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Interpretability; Medicine; Composite index; Critical appraisal; Weighting; Medical diagnosis; Variable (mathematics); Data mining; Management science; Alternative medicine; Machine learning; Computer science; Composite indicator; Econometrics; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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"],"consensus_categories":[],"category_scores_codex":[0.01607234,0.0001470774,0.0007540628,0.0001493471,0.0002893882,0.0001277463,0.0001490816,0.0001422833,0.00007418128],"category_scores_gemma":[0.05722953,0.0001849351,0.0001167591,0.0001352047,0.0001145941,0.0003077638,0.00007585045,0.0001517668,0.0004387103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118542,"about_ca_system_score_gemma":0.00006671729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001138229,"about_ca_topic_score_gemma":0.00002949199,"domain_scores_codex":[0.9949277,0.000126918,0.003869427,0.0005395869,0.00008293655,0.0004534201],"domain_scores_gemma":[0.9938385,0.004201402,0.001341711,0.0003561599,0.00007798673,0.0001842165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004242991,0.0001012895,0.1268502,0.0008659374,0.0001207757,0.00000941304,0.002360764,0.00008300325,0.0001174487,0.7820985,0.08606794,0.001282341],"study_design_scores_gemma":[0.001900009,0.0003443324,0.3054239,0.000275108,0.00004050523,0.0000950551,0.001339566,0.05778753,0.0000670102,0.2238049,0.4074804,0.001441725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8499495,0.003992517,0.03688519,0.09797072,0.003191165,0.00150854,0.0006748228,0.0005140314,0.005313543],"genre_scores_gemma":[0.9838358,0.0001039371,0.0104193,0.003786748,0.001040298,0.0002761726,0.00006830619,0.00005499668,0.0004144828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5582936,"threshold_uncertainty_score":0.9507118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5250790808946317,"score_gpt":0.5138180985254929,"score_spread":0.01126098236913886,"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."}}