{"id":"W4286213409","doi":"10.1177/01622439221112460","title":"Does “Precision” Matter? A Q Study of Public Interpretations of Gene Editing in Agriculture","year":2022,"lang":"en","type":"article","venue":"Science Technology & Human Values","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Genome British Columbia","keywords":"Futures contract; Vision; Sociotechnical system; Emerging technologies; Agriculture; Sociology; Environmental ethics; Epistemology; Political science; Business; Computer science; Knowledge management; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004547276,0.00007627726,0.0001243546,0.0005168707,0.0002225196,0.000008481834,0.0005921742,0.00004391491,0.00003037605],"category_scores_gemma":[0.00009731876,0.00005617391,0.00002818521,0.0009018343,0.0004256937,0.000006306587,0.0004496689,0.0001198732,4.450124e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001863737,"about_ca_system_score_gemma":0.00003402509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001840444,"about_ca_topic_score_gemma":0.00009379775,"domain_scores_codex":[0.9990619,0.00003268263,0.0002441647,0.0002883078,0.0001942236,0.0001786785],"domain_scores_gemma":[0.9994782,0.000006556338,0.00009419557,0.0003144894,0.00008676245,0.0000198396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001507251,0.0001560468,0.0629265,0.000005153099,0.000007807523,8.555651e-7,0.0007792485,0.0009436932,0.9341372,0.0001007666,0.00004930538,0.0008919474],"study_design_scores_gemma":[0.000404107,0.0008167874,0.05272082,0.00001319645,0.00001146625,0.00001149259,0.0354282,0.0001253604,0.9089683,0.001137596,0.0002169597,0.0001456963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987149,0.0001590861,0.0005346571,0.0001159694,0.000134062,0.0001682037,0.000007012282,0.00001565153,0.0001504176],"genre_scores_gemma":[0.9992313,0.000003451528,0.0005982698,0.00001005107,0.00001869737,0.0000520197,0.000005231181,0.000005177802,0.00007583939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03464895,"threshold_uncertainty_score":0.2290706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008642227105489836,"score_gpt":0.3086798748723742,"score_spread":0.3000376477668844,"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."}}