{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.1000204,0.0007081588,0.0009316608,0.002759488,0.01541417,0.01455222,0.00245853,0.005569127,0.005127985],"category_scores_gemma":[0.1579759,0.0009639128,0.0007097945,0.002852427,0.04756324,0.02121992,0.01284504,0.01040879,0.000665402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01250267,"about_ca_system_score_gemma":0.01078995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007746603,"about_ca_topic_score_gemma":0.004227065,"domain_scores_codex":[0.8772057,0.1041359,0.001727338,0.003872692,0.006309875,0.006748513],"domain_scores_gemma":[0.7046174,0.2554617,0.01557983,0.006259428,0.01333387,0.004747837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003350389,0.00006750188,0.003324318,0.0000538464,0.000003621683,0.000162538,0.9771056,0.00002605051,0.0001599331,0.01653267,0.0004213195,0.002109112],"study_design_scores_gemma":[0.00001601265,0.0000726734,0.001481988,0.000120707,0.000005311271,0.00005768903,0.9835413,0.0001996487,0.0001291955,0.006793803,0.007566274,0.00001545937],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444402,0.0003037931,0.007839975,0.02468451,0.0001539758,0.0002391466,0.00004687031,0.00002284486,0.02226847],"genre_scores_gemma":[0.9958169,0.0001265722,0.0006731459,0.002017489,0.0000296254,0.0001394095,0.00001092247,0.00002596203,0.001160091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9845858,"threshold_uncertainty_score":0.5289649,"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."}}