{"id":"W2162061195","doi":"10.1111/j.1539-6924.2011.01738.x","title":"Nanotechnology Risk Perceptions and Communication: Emerging Technologies, Emerging Challenges","year":2011,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Materials Research; Natural Environment Research Council; Economic and Social Research Council; Cardiff University; Sight Research UK; Leverhulme Trust; University of California, Santa Barbara; National Science Foundation","keywords":"Emerging technologies; Risk communication; Nanotechnology; Risk analysis (engineering); Engineering; Data science; Business; Computer science; Materials 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01340336,0.0005534635,0.0005926088,0.002111329,0.00391699,0.01562882,0.001116435,0.005039029,0.004061067],"category_scores_gemma":[0.02767655,0.0002871329,0.0005852016,0.001500196,0.0138254,0.01986539,0.005851355,0.005310834,0.0004653627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004484585,"about_ca_system_score_gemma":0.003462151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109512,"about_ca_topic_score_gemma":0.001657308,"domain_scores_codex":[0.9886994,0.006844827,0.0003687798,0.0006113336,0.002925964,0.000549711],"domain_scores_gemma":[0.970875,0.02100263,0.003506544,0.0009224828,0.002558596,0.0011349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001032611,0.0001665293,0.02071811,0.000968988,0.00007383228,0.001234616,0.2169603,0.001497442,0.001042297,0.5919977,0.01205167,0.1531852],"study_design_scores_gemma":[0.00001863751,0.0001624236,0.01277467,0.001886489,0.00005320871,0.002001651,0.3481911,0.004242385,0.001117707,0.4920909,0.1372852,0.0001757554],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.321081,0.06157312,0.05608498,0.4000733,0.00224012,0.0001230826,0.0001264536,0.0001067906,0.1585912],"genre_scores_gemma":[0.9686248,0.01829254,0.003981256,0.004110429,0.0008974102,0.00004805687,0.00002407292,0.00002637995,0.003995112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01562882,"threshold_uncertainty_score":0.07088464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039282692998358,"score_gpt":0.3061221499880667,"score_spread":0.2668394569897087,"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."}}