{"id":"W2069514614","doi":"10.1016/j.worlddev.2006.11.004","title":"Biotechnology and Nanotechnology: Science-based Enabling Technologies as Windows of Opportunity for LDCs?","year":2007,"lang":"en","type":"article","venue":"World Development","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Bishop's University","funders":"","keywords":"China; Context (archaeology); Position (finance); Developing country; International trade; Business; Nanotechnology; Political science; Economics; Economic growth; Biology; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.004105303,0.0005534577,0.000648478,0.001100155,0.002845407,0.01429588,0.001083198,0.006711851,0.02624882],"category_scores_gemma":[0.006276198,0.0003191835,0.0004672508,0.001012423,0.01115734,0.02518993,0.006591948,0.00470728,0.002882913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003240456,"about_ca_system_score_gemma":0.005646337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228314,"about_ca_topic_score_gemma":0.001763947,"domain_scores_codex":[0.9981037,0.0005786783,0.00005992823,0.0001655148,0.0005499416,0.0005421761],"domain_scores_gemma":[0.9968106,0.001631603,0.0003052026,0.0003476162,0.0003204896,0.0005844745],"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":[0.00003728664,0.00003002834,0.0002346118,0.00006346622,0.000004527703,0.00009306183,0.0004202651,0.0001097885,0.0005601999,0.9736293,0.007602761,0.01721462],"study_design_scores_gemma":[0.00002279054,0.00005082554,0.0004121227,0.0002420472,0.00001242065,0.0002518314,0.002133247,0.0003879537,0.001505918,0.717108,0.2778427,0.00003009333],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03782726,0.06775013,0.02627025,0.2787817,0.003777523,0.00007353466,0.0003276429,0.0002638385,0.5849281],"genre_scores_gemma":[0.8650838,0.04199366,0.01330431,0.02335143,0.004064341,0.0002655826,0.0001129819,0.0001147078,0.05170919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02624882,"threshold_uncertainty_score":0.08781105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02480413429574784,"score_gpt":0.2910492743441793,"score_spread":0.2662451400484314,"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."}}