{"id":"W2051194883","doi":"10.1289/ehp.7655","title":"Framing Scientific Analyses for Risk Management of Environmental Hazards by Communities: Case Studies with Seafood Safety Issues","year":2005,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Framing (construction); Deliberation; Stakeholder; Public relations; Risk management; Political science; Sociology; Environmental planning; Environmental resource management; Business; Engineering; Geography; Politics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001121084,0.0002314024,0.0003543932,0.0001315508,0.002854524,0.00006272574,0.0002321289,0.00004865045,0.0005492125],"category_scores_gemma":[0.000006225017,0.00021255,0.00011521,0.0001392207,0.002006961,0.0003383225,0.0001439197,0.0001481292,0.00002268246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014313,"about_ca_system_score_gemma":0.00003300414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518046,"about_ca_topic_score_gemma":0.003577296,"domain_scores_codex":[0.9976953,0.000409544,0.0003921928,0.000422773,0.0005910852,0.0004891077],"domain_scores_gemma":[0.9990671,0.0001112815,0.000286287,0.0003557956,0.00001096639,0.0001685136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002637207,0.002791029,0.004142214,0.0002985702,0.001150888,0.00002669465,0.8622898,0.0006475022,0.0001406188,0.003057458,0.006960582,0.1182309],"study_design_scores_gemma":[0.0007416815,0.000372853,0.002280658,0.00004818993,0.0000848227,0.000005659178,0.8516797,0.0001038915,0.00005807133,0.00007040839,0.1443436,0.0002104767],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688764,0.02246305,0.001425915,0.002079915,0.0001376223,0.002089971,0.0009725975,0.00008204794,0.001872524],"genre_scores_gemma":[0.9503782,0.03708549,0.007602134,0.0001092129,0.00008615544,0.0001120779,0.00005303724,0.00002433915,0.004549357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.137383,"threshold_uncertainty_score":0.9984436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04878015905297534,"score_gpt":0.4129795903879214,"score_spread":0.364199431334946,"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."}}