{"id":"W2168987783","doi":"10.1142/s146433321250010x","title":"MAKING IT REAL: WHAT RISK MANAGERS SHOULD KNOW ABOUT COMMUNITY ENGAGEMENT","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Assessment Policy and Management","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Engineering and Physical Sciences Research Council","keywords":"Misrepresentation; Risk management; Risk communication; Public relations; Community engagement; Public engagement; Contaminated land; Sociology; Business; Knowledge management; Risk analysis (engineering); Political science; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005251125,0.0002700127,0.0003205308,0.0004235704,0.001413428,0.0003853665,0.0004778881,0.0000883735,0.0006121992],"category_scores_gemma":[0.00002687545,0.0002514261,0.0001925946,0.0001952986,0.0003334645,0.001898844,0.0005791297,0.0006306962,0.00003542036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094323,"about_ca_system_score_gemma":0.00002956471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006446106,"about_ca_topic_score_gemma":0.0001755916,"domain_scores_codex":[0.9961384,0.001363268,0.0006501199,0.0001806576,0.000998201,0.0006693673],"domain_scores_gemma":[0.9984853,0.0001372825,0.0006656578,0.0003389172,0.0000139301,0.0003589123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001072619,0.003028905,0.03149098,0.0002568213,0.001284925,0.00005089595,0.07015739,0.0002266766,0.0001613235,0.181867,0.02311891,0.6882489],"study_design_scores_gemma":[0.0006365671,0.0001197762,0.2424136,0.0001489683,0.0002357639,0.000003383682,0.1264924,0.00001339346,0.00000441686,0.00058265,0.6291181,0.0002310063],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.52756,0.002488556,0.004759742,0.01589616,0.002329539,0.002005592,0.00002709888,0.0001088115,0.4448245],"genre_scores_gemma":[0.7685779,0.2227914,0.002731748,0.00210826,0.0005240829,0.00001730407,0.000004322559,0.00002163675,0.003223319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6880179,"threshold_uncertainty_score":0.9999938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050090457736231,"score_gpt":0.4161257577456117,"score_spread":0.3111167119719886,"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."}}