{"id":"W1968307472","doi":"10.1002/pam.1001","title":"Decision Aiding, Not Dispute Resolution: Creating Insights through Structured Environmental Decisions","year":2001,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada); University of British Columbia","funders":"U.S. Department of Energy","keywords":"Stakeholder; Dispute resolution; Constructive; Public participation; Alternative dispute resolution; Process (computing); Stakeholder analysis; Decision analysis; Conflict resolution; Resolution (logic); Management science; Public relations; Political science; Business; Computer science; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002685192,0.0002000799,0.0003608505,0.0002522017,0.0004543325,0.00008871913,0.0002557792,0.00006474634,0.0006792101],"category_scores_gemma":[0.00003574216,0.0001536089,0.0002968585,0.0006956309,0.0001603226,0.0005747058,0.0004140164,0.0001441396,0.00002690455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004541779,"about_ca_system_score_gemma":0.000004986006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003023908,"about_ca_topic_score_gemma":0.0001952068,"domain_scores_codex":[0.9980329,0.00007714088,0.0005851889,0.000252629,0.0007664338,0.0002856723],"domain_scores_gemma":[0.9990629,0.0000862453,0.0004167982,0.0002243737,0.000003803339,0.0002058893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009881607,0.001974151,0.5029457,0.00002645188,0.008198431,0.001163627,0.01267677,0.04925437,0.01462066,0.008372908,0.007970773,0.391808],"study_design_scores_gemma":[0.0008909805,0.0001636239,0.957247,0.00003570476,0.001147294,0.00004314844,0.001270514,0.001032877,0.0002084831,0.006344446,0.03136126,0.0002547132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659269,0.0001446721,0.02546928,0.0004623415,0.00008480352,0.0001249024,0.00000683822,0.000006918661,0.007773386],"genre_scores_gemma":[0.9818025,0.00630055,0.01034054,0.0006007547,0.0001518008,0.000002669562,0.000005704456,0.00001128366,0.0007841832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4543012,"threshold_uncertainty_score":0.7436874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586665060960755,"score_gpt":0.3015093436329304,"score_spread":0.2856426930233228,"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."}}