{"id":"W2921605152","doi":"10.1163/15685306-12341588","title":"Genetically Engineered Nonhuman Animals: A Global Overview and Research Agenda","year":2019,"lang":"en","type":"article","venue":"Society and Animals","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ontology; Scale (ratio); Genetically engineered; Archipelago; Biopower; State (computer science); Biology; Political science; Geography; Ecology; Gene; Epistemology; Genetics; Computer science; Politics; Cartography","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":[],"consensus_categories":[],"category_scores_codex":[0.000537295,0.0001503655,0.000161732,0.00001152103,0.0001536369,0.00006611944,0.0001036024,0.000194267,0.00004108731],"category_scores_gemma":[0.00003216998,0.0001370236,0.0001001926,0.0001264926,0.0001816437,0.00000333614,0.0002425811,0.0001251052,0.00001776932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001214434,"about_ca_system_score_gemma":0.00005020214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001442922,"about_ca_topic_score_gemma":0.000005263851,"domain_scores_codex":[0.9986828,0.00006062957,0.0001666594,0.0005741572,0.0001873188,0.0003284401],"domain_scores_gemma":[0.9994841,0.00001034636,0.00003417414,0.0002405243,0.0001240422,0.000106817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005605844,0.00003420711,0.005651766,0.000130311,0.00008033898,0.00000122959,0.0001396556,0.000004870659,0.9858052,0.002687708,0.002395057,0.003013588],"study_design_scores_gemma":[0.002416685,0.00503204,0.3319547,0.0001384831,0.00009960814,0.0001787304,0.002131742,0.0008270743,0.0896225,0.003305467,0.5630427,0.001250312],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656602,0.03243235,0.00007188795,0.0003409116,0.00005746244,0.0002434943,0.00002413951,0.00001251668,0.001157081],"genre_scores_gemma":[0.9864237,0.011036,0.001377188,0.0001734613,0.0002852987,0.000009254695,0.00001227355,0.00001736771,0.0006654654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8961827,"threshold_uncertainty_score":0.5587661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04350115358376489,"score_gpt":0.3411954210479862,"score_spread":0.2976942674642213,"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."}}