{"id":"W4401391220","doi":"10.1007/s40273-024-01401-y","title":"Improving Transparency of Decision Models Through the Application of Decision Analytic Models with Omitted Objects Displayed (DAMWOOD)","year":2024,"lang":"en","type":"article","venue":"PharmacoEconomics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Institute of Health Economics; University of Alberta","funders":"Medical Research Council","keywords":"Transparency (behavior); Computer science; Decision model; Decision analysis; Management science; Scrutiny; Data science; Economics; Machine learning; Computer security; Mathematical economics; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03551285,0.001000457,0.001669736,0.001683639,0.0007964256,0.004123338,0.001856398,0.001449467,0.004330223],"category_scores_gemma":[0.1619742,0.0009888159,0.001985159,0.001443256,0.002068785,0.004978508,0.005237279,0.005792588,0.0005018651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174161,"about_ca_system_score_gemma":0.004626794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002930844,"about_ca_topic_score_gemma":0.00216454,"domain_scores_codex":[0.9554515,0.03570298,0.001427926,0.002011068,0.004870734,0.0005358091],"domain_scores_gemma":[0.8346285,0.1422621,0.005405334,0.01285982,0.003993913,0.0008503317],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004095391,0.0002785253,0.001924631,0.0003254002,0.0003417002,0.0001424224,0.000596568,0.1231562,0.001552352,0.6893893,0.003561117,0.1783224],"study_design_scores_gemma":[0.00006913956,0.0000634087,0.000258952,0.00006182682,0.00007519615,0.00003839428,0.00002858319,0.4253089,0.00144528,0.5701266,0.002486448,0.00003728505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003390054,0.0001551041,0.9942815,0.0009013076,0.00004446778,0.00004179907,0.0000539543,0.0002012803,0.0009304677],"genre_scores_gemma":[0.2414453,0.0004176394,0.7557316,0.0004055795,0.0001141787,0.0001714819,0.0001273076,0.000140222,0.001446707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9644871,"threshold_uncertainty_score":0.1878121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09701390709738864,"score_gpt":0.4091000125666914,"score_spread":0.3120861054693028,"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."}}