{"id":"W3215288638","doi":"10.3390/su132313188","title":"The Landscape of Risk Perception Research: A Scientometric Analysis","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Risk governance; Data science; Risk perception; Natural hazard; Focus group; Thematic analysis; Bibliometrics; Scientometrics; Perception; Corporate governance; Geography; Knowledge management; Qualitative research; Psychology; Sociology; Computer science; Business; Social science; Marketing; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01210819,0.0000456616,0.0001157348,0.0006634687,0.001524372,0.0001500889,0.000262677,0.00004571288,0.0008291226],"category_scores_gemma":[0.01404374,0.00003394075,0.0001657591,0.01461741,0.0008275436,0.0001002264,0.0001478222,0.0001550764,0.0000150218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006309946,"about_ca_system_score_gemma":0.0006296125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005415806,"about_ca_topic_score_gemma":0.01290253,"domain_scores_codex":[0.9962754,0.001991807,0.0001895717,0.0002558538,0.0009307922,0.0003565792],"domain_scores_gemma":[0.9958147,0.0006580179,0.00006402627,0.0004609697,0.002911124,0.00009118939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003243124,0.0002686667,0.6835747,0.00003643224,0.0001282288,0.000003865126,0.05560966,0.0002337688,0.00001180723,0.06189359,0.003810199,0.1943967],"study_design_scores_gemma":[0.00006693316,0.0000140178,0.7299506,6.879384e-7,0.00005808078,2.323465e-8,0.1896525,0.0001415359,0.000002510876,0.01511177,0.064964,0.00003727912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777345,0.0001347208,0.0005501733,0.004226225,0.00008821936,0.0002489557,0.000004342336,0.0000279417,0.01698494],"genre_scores_gemma":[0.9940981,0.0008635889,0.00007507845,0.00001291714,0.0000483985,0.00001620008,0.000003647014,0.000002267173,0.004879863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1943594,"threshold_uncertainty_score":0.9997755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05429217728800833,"score_gpt":0.4345194863785171,"score_spread":0.3802273090905087,"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."}}