{"id":"W2157345945","doi":"10.1016/j.nbt.2013.03.010","title":"Genetically modified animals from life-science, socio-economic and ethical perspectives: examining issues in an EU policy context","year":2013,"lang":"en","type":"review","venue":"New Biotechnology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture Food and Rural Development","funders":"","keywords":"Futures studies; Context (archaeology); Public policy; Agriculture; Business; Animal welfare; Political science; Environmental resource management; Public economics; Environmental planning; Economic growth; Economics; Geography; Ecology; Biology","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":[0.00274805,0.00091905,0.001671989,0.002420659,0.0004829123,0.002282491,0.001195083,0.004355437,0.002409633],"category_scores_gemma":[0.002606518,0.0002308591,0.0003940222,0.004489689,0.002168287,0.00243875,0.001490134,0.002577315,0.000463874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213777,"about_ca_system_score_gemma":0.003923146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346711,"about_ca_topic_score_gemma":0.005223418,"domain_scores_codex":[0.9993575,0.0001946254,0.00006601634,0.0000818702,0.0002298084,0.00007014901],"domain_scores_gemma":[0.9983504,0.001206247,0.0001741823,0.00003100033,0.0001646285,0.00007359112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000689146,0.00006970515,0.0002469768,0.01447394,0.00008255277,0.000403592,0.0003844734,0.0006215051,0.001185888,0.08308402,0.04472853,0.85465],"study_design_scores_gemma":[0.000008487313,0.0000202573,0.0006718966,0.01141782,0.0000625095,0.0005571842,0.0003715514,0.00006015448,0.0002251534,0.01323702,0.9733488,0.00001916017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001380601,0.9954601,0.0001708089,0.002122282,0.0003006301,0.000001617118,0.000009786663,0.000002796417,0.001793775],"genre_scores_gemma":[0.001598654,0.9959485,0.0003478212,0.001244391,0.0002061094,0.000005861546,0.00001432457,0.000002232554,0.0006322364],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9995171,"threshold_uncertainty_score":0.01551062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0507496052126122,"score_gpt":0.3551010064831652,"score_spread":0.304351401270553,"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."}}