{"id":"W7104581088","doi":"10.1525/elementa.2024.00080","title":"Engaging publics on gene editing of farm animals: Evidence from the online gray literature","year":2025,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Publics; Gray (unit); Public engagement; License; Grey literature; Profiling (computer programming); Online discussion; Social media","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.05770393,0.0004723357,0.001070051,0.02459005,0.005366696,0.0151557,0.001570989,0.004090995,0.01903504],"category_scores_gemma":[0.218445,0.0006631684,0.000674319,0.02548606,0.01211075,0.01817649,0.01104957,0.00345939,0.002030413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005905434,"about_ca_system_score_gemma":0.01200501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006347457,"about_ca_topic_score_gemma":0.008164079,"domain_scores_codex":[0.9565652,0.02547317,0.003946637,0.002500318,0.008775452,0.00273934],"domain_scores_gemma":[0.3629252,0.5771458,0.02562386,0.01310463,0.01817298,0.003027512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006529956,0.0004727914,0.03963493,0.02833387,0.0004264806,0.003012334,0.3573281,0.0005397506,0.0009198089,0.202125,0.05353395,0.3130199],"study_design_scores_gemma":[0.0001263717,0.0001540203,0.03648909,0.06914178,0.0006305982,0.001140964,0.2961572,0.0006261191,0.001473132,0.06563902,0.5282823,0.0001393682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4211638,0.111351,0.008250923,0.148987,0.001064562,0.0005839121,0.006296588,0.0001262567,0.3021758],"genre_scores_gemma":[0.91426,0.05720341,0.002912385,0.01836439,0.000637137,0.0003843335,0.001763884,0.0001770778,0.004297397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9848443,"threshold_uncertainty_score":0.3051712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446868980825686,"score_gpt":0.3475187148586231,"score_spread":0.3330500250503662,"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."}}