{"id":"W2161031569","doi":"10.1504/ijbt.2006.008968","title":"Increasing human security through biotechnology","year":2006,"lang":"en","type":"article","venue":"International Journal of Biotechnology","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Academy of Sciences; Ontario Genomics Institute; Genome Canada; International Center for Genetic Engineering and Biotechnology","keywords":"Human security; Shadow (psychology); Poverty; Emerging technologies; Corporate governance; Business; Global governance; Political science; Economic growth; Economics; Computer science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006484284,0.0001290651,0.0003450884,0.0009312069,0.00006894497,0.00001857011,0.0006196173,0.0004308106,0.0001413279],"category_scores_gemma":[0.0005311426,0.0001005695,0.000131058,0.0003886321,0.0007838293,0.0001442924,0.0001432107,0.0007967451,0.000021374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000203095,"about_ca_system_score_gemma":0.0001668291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005273144,"about_ca_topic_score_gemma":0.00004625894,"domain_scores_codex":[0.998184,0.00003918984,0.0005673688,0.0002023874,0.0007071293,0.0002999153],"domain_scores_gemma":[0.9988301,0.00006802328,0.0003324986,0.0002281726,0.0004696572,0.00007154427],"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":[0.0003553427,0.0004806338,0.01273078,0.00001646643,0.0001857301,0.001917398,0.0001231501,0.000002913908,0.8916851,0.07167381,0.003551145,0.0172775],"study_design_scores_gemma":[0.004381847,0.001480806,0.01363911,0.0002893207,0.00007793977,0.02485707,0.0006446605,0.00007941466,0.7775518,0.0426057,0.1341957,0.0001965291],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474532,0.0006819172,0.001671911,0.04575687,0.0006946885,0.00009668818,0.000003989063,0.00008293257,0.003557782],"genre_scores_gemma":[0.9955415,0.0003962079,0.002548208,0.0005879513,0.0007617287,0.00000143403,0.000007266045,0.00001207639,0.0001436894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1306446,"threshold_uncertainty_score":0.4101107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871411436674347,"score_gpt":0.3519658304373612,"score_spread":0.3332517160706177,"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."}}