{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006192517,0.0004811085,0.0004864768,0.001925263,0.01059726,0.006171366,0.001882916,0.001921189,0.004638274],"category_scores_gemma":[0.02322123,0.0005994256,0.0003771824,0.004241889,0.003070714,0.001585725,0.00209472,0.002494955,0.000296529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1271926,"about_ca_system_score_gemma":0.2288319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974504,"about_ca_topic_score_gemma":0.999002,"domain_scores_codex":[0.9954113,0.002052961,0.0002238552,0.0003046141,0.000848253,0.00115912],"domain_scores_gemma":[0.9879521,0.006535315,0.0003330673,0.0002837647,0.003572798,0.001323093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001617586,0.001119319,0.1621441,0.00120056,0.0004271125,0.00193938,0.02838354,0.275015,0.002226943,0.05470221,0.1057843,0.36544],"study_design_scores_gemma":[0.001028201,0.0004689212,0.2441957,0.001136744,0.0006111303,0.0002216405,0.135048,0.4142917,0.005452428,0.05069412,0.1459185,0.0009328908],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135268,0.001723774,0.006648242,0.02349921,0.0001326345,0.0007349608,0.001180816,0.000204329,0.05234918],"genre_scores_gemma":[0.981598,0.0006366413,0.007755601,0.0004468246,0.00001002127,0.0001362543,0.0002505056,0.00004126783,0.00912482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271926,"threshold_uncertainty_score":0.9228516,"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."}}