{"id":"W4391238732","doi":"10.54097/45c92q28","title":"The Advancement of Medical Biotechnology in Developing Countries: Economic Opportunities and Challenges","year":2023,"lang":"en","type":"article","venue":"Highlights in Business Economics and Management","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biotechnology; Business; Developing country; Economic growth; Economics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00730719,0.0007077918,0.0006477544,0.001660916,0.002932675,0.009141306,0.0007436486,0.003900425,0.005315219],"category_scores_gemma":[0.007543089,0.0002349142,0.0005886363,0.003223591,0.008406357,0.009023613,0.003294102,0.005822283,0.001150472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004573007,"about_ca_system_score_gemma":0.009766461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002440352,"about_ca_topic_score_gemma":0.002381542,"domain_scores_codex":[0.9969317,0.001557662,0.0001521874,0.0001675943,0.0007603327,0.0004304023],"domain_scores_gemma":[0.9949964,0.002949894,0.000564149,0.0001920596,0.000710274,0.0005872776],"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":[0.00004906142,0.000050693,0.0007924624,0.000591143,0.00002324734,0.0003622524,0.0009042828,0.0008806553,0.0003392218,0.8464292,0.05622949,0.09334841],"study_design_scores_gemma":[0.00002200936,0.00005914093,0.001111588,0.001914934,0.00001759437,0.0004371491,0.003482565,0.0007185296,0.0003426278,0.366542,0.6253139,0.00003798044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005101527,0.291759,0.004704507,0.6207336,0.006636712,0.00003866592,0.00008463425,0.00003180096,0.07090951],"genre_scores_gemma":[0.1415203,0.7581641,0.01011208,0.05973549,0.0136576,0.0001076759,0.00007589365,0.0000425543,0.01658446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009141306,"threshold_uncertainty_score":0.03864455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761867278409731,"score_gpt":0.253193177534855,"score_spread":0.2155745047507577,"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."}}