{"id":"W2099814020","doi":"10.1002/pam.10059","title":"Using decision analysis to encourage sound deliberation: water use planning in British Columbia, Canada","year":2002,"lang":"en","type":"article","venue":"Journal of Policy Analysis and Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Deliberation; Citation; Library science; Unit (ring theory); Sociology; Operations research; Management; Computer science; Political science; Law; Psychology; Economics; Engineering; Politics","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":[0.0002262241,0.00009728421,0.0003352624,0.001316513,0.00008926911,0.0007066368,0.0001172999,0.00002848671,0.0001329696],"category_scores_gemma":[0.00001116349,0.0001146733,0.0001316401,0.001810555,0.000007031808,0.000308836,0.00006253744,0.00007679293,7.442279e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002360697,"about_ca_system_score_gemma":0.000003854361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2598472,"about_ca_topic_score_gemma":0.8652247,"domain_scores_codex":[0.9987615,0.00002731246,0.0005249488,0.0001356643,0.0003186693,0.000231884],"domain_scores_gemma":[0.9996141,0.00002015108,0.00007917543,0.0001272239,0.00004988767,0.0001094345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002437942,0.00001417535,0.03459089,0.00001578026,0.002235404,0.0001521039,0.0003131582,0.9578565,0.000007661611,0.000002993425,0.001519414,0.00328945],"study_design_scores_gemma":[0.0005138107,0.00002433373,0.1466792,0.00005987912,0.004302089,0.000008009036,0.00035975,0.8410456,0.00001382842,0.00007367374,0.006620511,0.0002993657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.853815,0.0001111205,0.1455775,0.00009049339,0.00004172597,0.00008211304,0.000002755902,0.000008021915,0.0002712901],"genre_scores_gemma":[0.99362,0.0002695212,0.005197086,0.0001890578,0.00007378958,0.000001913058,0.000006956077,0.00001134298,0.0006302785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6053774,"threshold_uncertainty_score":0.7450815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813478373370202,"score_gpt":0.2258330845164908,"score_spread":0.2076983007827888,"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."}}