{"id":"W2061482076","doi":"10.1080/0964056042000243258","title":"Informing the development of decision support tools for risk management: the case of electrical and magnetic fields","year":2004,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Western University","funders":"","keywords":"Stakeholder; Accountability; Focus group; Risk management; Government (linguistics); Stakeholder engagement; Process (computing); Public relations; Hazard; Business; Knowledge management; Public participation; Process management; Risk analysis (engineering); Environmental resource management; Political science; Computer science; Economics; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.001220056,0.00008266898,0.0001304614,0.00009413057,0.0004068493,0.00004939715,0.0001514584,0.00003062877,0.00002639243],"category_scores_gemma":[0.00002005135,0.00005142774,0.00005453805,0.00006702774,0.0001505919,0.0001516867,0.0001226025,0.00008648023,7.723195e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005701092,"about_ca_system_score_gemma":0.00001033882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002191809,"about_ca_topic_score_gemma":0.00003774772,"domain_scores_codex":[0.9990373,0.00003451003,0.0004250793,0.00009007086,0.0002631601,0.0001499227],"domain_scores_gemma":[0.9994197,0.000133287,0.0002971829,0.00009022206,0.000007951318,0.00005161707],"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":[0.0001093224,0.00009709469,0.0006699458,0.00005962401,0.000136524,0.00009709274,0.01812172,0.0006507011,0.00001856828,0.005857925,0.0004922113,0.9736893],"study_design_scores_gemma":[0.007490693,0.001917963,0.1831731,0.0005373115,0.001223003,0.0003693042,0.2853266,0.0003146557,0.0002935539,0.01152696,0.5072481,0.0005786784],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695711,0.000619835,0.02360674,0.0003908617,0.0001148139,0.0006581289,0.000003964091,0.000004193472,0.00503042],"genre_scores_gemma":[0.9820436,0.003268851,0.01429097,0.0001033439,0.00002633134,0.00001019959,8.62884e-7,0.000004455109,0.0002514463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9731106,"threshold_uncertainty_score":0.3129197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742374984821034,"score_gpt":0.2849702453478223,"score_spread":0.267546495499612,"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."}}