{"id":"W3131152704","doi":"10.1111/risa.13701","title":"Exploring Scientists’ Values by Analyzing How They Frame Nature and Uncertainty","year":2021,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Frame (networking); Value (mathematics); Capital (architecture); Environmental ethics; Engineering ethics; Epistemology; Political science; Sociology; Engineering; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008463428,0.00007802858,0.0001781371,0.0001709372,0.001059089,0.00037563,0.0001790952,0.00009415536,0.0004152116],"category_scores_gemma":[0.0004458807,0.00007534476,0.0001504176,0.001497984,0.0001309103,0.0002884868,0.00008492561,0.0002410306,0.000009588673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008241767,"about_ca_system_score_gemma":0.00002853901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00358453,"about_ca_topic_score_gemma":0.02720951,"domain_scores_codex":[0.9986971,0.000472094,0.0001035019,0.0002558719,0.0002869917,0.0001844108],"domain_scores_gemma":[0.9991326,0.0001791838,0.00009162811,0.0003254989,0.0001674348,0.0001036024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000120206,0.000154638,0.7165333,0.00002186108,0.001384946,0.000006590159,0.1633243,0.0007645119,0.002704463,0.004403294,0.003035408,0.1076547],"study_design_scores_gemma":[0.0006447842,0.00002792042,0.2793587,0.0000923994,0.004867497,0.000001533394,0.3307499,0.02328319,0.0004214995,0.006334765,0.353024,0.001193838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896645,0.002830753,0.0004776685,0.004354465,0.00009575723,0.00003992071,0.00004504576,0.00005615451,0.002435741],"genre_scores_gemma":[0.9337637,0.06476533,0.0002865148,0.00008394061,0.00007435964,0.000007414669,0.0001151941,0.000004644234,0.0008988842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4371746,"threshold_uncertainty_score":0.9905414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3094449446066831,"score_gpt":0.4136335186020167,"score_spread":0.1041885739953335,"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."}}