{"id":"W1968478090","doi":"10.1038/nbt1204supp-dc42","title":"South Korean biotechnology—a rising industrial and scientific powerhouse","year":2004,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Genomics; University of Toronto","funders":"","keywords":"Biotechnology; Business; Natural resource economics; International trade; Biology; Economics","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":[],"category_scores_codex":[0.000208838,0.0002339668,0.0002086416,0.00032507,0.0001586709,0.00004232261,0.0003191803,0.00302706,0.000003282758],"category_scores_gemma":[0.0003938657,0.0002237691,0.00006237519,0.0003927426,0.0006254263,0.000004186707,0.0003037392,0.0009067766,0.000009462119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002934824,"about_ca_system_score_gemma":0.00008041887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004647371,"about_ca_topic_score_gemma":0.00002657155,"domain_scores_codex":[0.9985628,0.00001399823,0.0002013177,0.0007024029,0.0001126977,0.0004068421],"domain_scores_gemma":[0.999149,0.000006920853,0.00006914134,0.0006492122,0.00005095642,0.00007479636],"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":[0.00003028084,0.00002554258,0.0001750864,0.00001110637,0.00005734462,0.000015627,0.0000583951,0.00007308493,0.9855998,0.004843838,0.0004422608,0.008667657],"study_design_scores_gemma":[0.0009575138,0.0002239379,0.00006822568,0.00002460061,0.00002089228,0.0001501725,0.0001871892,0.000008090704,0.9461381,0.0008446512,0.05111617,0.0002604204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802016,0.01207023,0.003389778,0.002868745,0.0009824689,0.0001948916,0.00001922494,0.0002241084,0.00004892945],"genre_scores_gemma":[0.9956993,0.0003037957,0.003452756,0.0001248136,0.0002107027,0.000006359473,0.00003502795,0.00003429578,0.0001329846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05067391,"threshold_uncertainty_score":0.9982672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006555805191556185,"score_gpt":0.2594968428745111,"score_spread":0.2529410376829549,"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."}}