{"id":"W2041741005","doi":"10.1002/jctb.634","title":"Ethical issues in biotechnologies and international trade","year":2002,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada)","funders":"","keywords":"Ingenuity; Bioethics; Tariff; Political science; Government (linguistics); Ethical issues; Business; Environmental ethics; Economics; Engineering ethics; Law; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.000304116,0.000274849,0.0008302171,0.002136572,0.00003766432,0.00001005882,0.0006258677,0.02284109,0.00009502195],"category_scores_gemma":[0.001276527,0.0002221699,0.0001430913,0.001190926,0.002396299,0.00007918935,0.0003013034,0.0149272,0.00001293205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043402,"about_ca_system_score_gemma":0.00002684097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001482236,"about_ca_topic_score_gemma":7.245945e-7,"domain_scores_codex":[0.9980765,0.0000243646,0.0008589507,0.0003840644,0.000205391,0.0004507114],"domain_scores_gemma":[0.9990377,0.00008143238,0.0003232693,0.000426759,0.00005069941,0.00008016542],"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":[0.0002039899,0.0005535955,0.003071568,0.00004134384,0.0003155848,0.001180702,0.00006443297,4.899118e-7,0.7366135,0.05297778,0.003928335,0.2010486],"study_design_scores_gemma":[0.002866399,0.0008963376,0.0004407857,0.00027932,0.00009973854,0.01476219,0.0003404127,0.0002371221,0.8599547,0.01633902,0.1034976,0.0002864042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4185999,0.006562059,0.00006835823,0.5739409,0.0001817954,0.0001029377,0.000001376458,0.0003232367,0.0002194714],"genre_scores_gemma":[0.9691788,0.02088702,0.008417428,0.00134564,0.00006899178,0.000005697521,0.000001131569,0.00002318323,0.00007212914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5725952,"threshold_uncertainty_score":0.9873454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605019136262411,"score_gpt":0.2867320832233337,"score_spread":0.2706818918607096,"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."}}