{"id":"W2121101027","doi":"10.1287/deca.1050.0035","title":"Acceptable Input: Using Decision Analysis to Guide Public Policy Deliberations","year":2005,"lang":"en","type":"article","venue":"Decision Analysis","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Carnegie Mellon University","keywords":"Legitimacy; Decision analysis; Construct (python library); Deliberative democracy; Management science; Strengths and weaknesses; Politics; Cognition; Computer science; Psychology; Public relations; Political science; Sociology; Social psychology; Economics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.05004115,0.002147406,0.001744811,0.006247011,0.003479309,0.01678406,0.004371942,0.004034591,0.01847591],"category_scores_gemma":[0.1768759,0.0009763206,0.001605459,0.004885172,0.005979987,0.01417726,0.007248881,0.00486331,0.003013075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006338057,"about_ca_system_score_gemma":0.01093906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003812889,"about_ca_topic_score_gemma":0.006077502,"domain_scores_codex":[0.9294336,0.05709384,0.002546157,0.002290901,0.007323921,0.00131162],"domain_scores_gemma":[0.8808878,0.09596233,0.004486122,0.007282333,0.009925205,0.001456167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005026842,0.0003346658,0.0054402,0.001206529,0.000242962,0.0004370692,0.01209219,0.06929009,0.001177178,0.6524022,0.01583265,0.2410417],"study_design_scores_gemma":[0.00009845479,0.0001074834,0.0006331789,0.0008719247,0.00004895905,0.00005678489,0.003361726,0.09307893,0.001581073,0.8624001,0.03767164,0.00008982211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02254459,0.000427711,0.9102244,0.009677065,0.0002000586,0.001064143,0.0007490782,0.001312404,0.05380056],"genre_scores_gemma":[0.3252686,0.0004897987,0.6682566,0.0006904444,0.0000777358,0.001280396,0.0007178353,0.0003500909,0.002868469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05004115,"threshold_uncertainty_score":0.2646461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235501599195023,"score_gpt":0.3094195534932586,"score_spread":0.1858693935737563,"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."}}