{"id":"W2790222387","doi":"10.1371/journal.pone.0191267","title":"The rise of health biotechnology research in Latin America: A scientometric analysis of health biotechnology production and impact in Argentina, Brazil, Chile, Colombia, Cuba and Mexico","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Latin Americans; Political science; Economic growth; Biotechnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004828512,0.0004113857,0.000705763,0.0399959,0.0008536706,0.005182023,0.0003896332,0.0004749799,0.002142335],"category_scores_gemma":[0.0215056,0.0002022522,0.0009082642,0.08735491,0.0007756079,0.00227705,0.0017724,0.0003907201,0.0003200996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324182,"about_ca_system_score_gemma":0.002205554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824444,"about_ca_topic_score_gemma":0.01037955,"domain_scores_codex":[0.9967936,0.00066921,0.0005602369,0.0004041786,0.001198841,0.0003739721],"domain_scores_gemma":[0.9787821,0.008343801,0.006403985,0.0008017233,0.004669225,0.0009992443],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00011172,0.00004494215,0.9433609,0.0006978041,0.0003110442,0.0004393439,0.00188757,0.001287714,0.0003432386,0.002187659,0.004210863,0.04511715],"study_design_scores_gemma":[0.00001009509,0.00002264118,0.9812191,0.000193222,0.0001002013,0.0001932368,0.003765937,0.001017509,0.0001505613,0.0005926809,0.01271965,0.00001512344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430392,0.01398297,0.000798434,0.002617624,0.00006789722,0.00008571446,0.01410734,0.00008797924,0.02521292],"genre_scores_gemma":[0.9760345,0.009704159,0.001134478,0.0001313408,0.0001450456,0.0001014405,0.01124868,0.00002710993,0.001473191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9951715,"threshold_uncertainty_score":0.03627652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07871068707892692,"score_gpt":0.3787757060483555,"score_spread":0.3000650189694286,"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."}}