{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004679199,0.0007278954,0.0003224885,0.001670745,0.002587627,0.006643079,0.0006436488,0.003773056,0.01544616],"category_scores_gemma":[0.004372594,0.000184888,0.0004587882,0.0007441697,0.01695074,0.008054795,0.007286714,0.002648995,0.00237243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002515461,"about_ca_system_score_gemma":0.003823439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00072266,"about_ca_topic_score_gemma":0.0009443303,"domain_scores_codex":[0.9977326,0.001090965,0.00005579718,0.0002819342,0.0005242965,0.0003143988],"domain_scores_gemma":[0.9967566,0.001496018,0.0005355779,0.0004113811,0.0003289775,0.0004714111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003441563,0.00007377021,0.0008698505,0.0004144997,0.00001553126,0.0001447935,0.002683249,0.0004695195,0.00145886,0.9051828,0.01466569,0.07398695],"study_design_scores_gemma":[0.00001335124,0.0001346851,0.0008615099,0.0007508792,0.00001279332,0.0002823038,0.002801938,0.000210984,0.001701056,0.3369832,0.6562281,0.00001915346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0226152,0.06009144,0.02877318,0.2383565,0.003187585,0.0001335806,0.00008276529,0.0002145823,0.6465452],"genre_scores_gemma":[0.7321296,0.09020219,0.02675561,0.0566553,0.004010652,0.0003352484,0.00009708078,0.0001286064,0.08968581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01544616,"threshold_uncertainty_score":0.05167252,"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."}}