{"id":"W3138911480","doi":"10.1093/scipol/scab014","title":"Drawing Lines in the Sand? Paths Forward for Triggering Regulation of Gene-Edited Crops","year":2021,"lang":"en","type":"article","venue":"Science and Public Policy","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Extant taxon; Corporate governance; Spell; Face (sociological concept); TRACE (psycholinguistics); Emerging technologies; Political science; Biotechnology; Engineering ethics; Risk analysis (engineering); Business; Biology; Sociology; Computer science; Engineering; Evolutionary biology; Social 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.04822644,0.0006382241,0.0009165045,0.001702672,0.004052663,0.01691548,0.004098821,0.01150634,0.007118745],"category_scores_gemma":[0.0475453,0.0005282802,0.001124912,0.001145172,0.0290729,0.01387042,0.008158359,0.01370253,0.001054929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007040466,"about_ca_system_score_gemma":0.01168122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002637006,"about_ca_topic_score_gemma":0.003535695,"domain_scores_codex":[0.9723675,0.01177666,0.001607013,0.005252461,0.006534145,0.002462106],"domain_scores_gemma":[0.950023,0.02951287,0.00525822,0.007749233,0.005497645,0.001958982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004444508,0.00004351748,0.000817222,0.000133162,0.00001859605,0.0001830379,0.001241872,0.001032569,0.003025292,0.9694896,0.004370575,0.01960003],"study_design_scores_gemma":[0.00002897313,0.00008335778,0.0006665002,0.0004390027,0.00002850491,0.0001477406,0.001603833,0.001081599,0.004601207,0.9010076,0.09024847,0.00006310293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04888955,0.01667907,0.4099272,0.3605196,0.003417078,0.000338661,0.0002355462,0.001364326,0.1586289],"genre_scores_gemma":[0.8500064,0.007593727,0.07736739,0.05022415,0.000659506,0.0004825824,0.0001406767,0.0003287284,0.01319673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9959474,"threshold_uncertainty_score":0.2550488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328738289231648,"score_gpt":0.3198256191922592,"score_spread":0.3065382362999428,"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."}}