{"id":"W4316469110","doi":"10.1590/1413-81232023282.11412022en","title":"Participation in health in the Americas: Bibliometric mapping of production, impact, visibility and collaboration","year":2023,"lang":"en","type":"article","venue":"Ciência & Saúde Coletiva","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Portuguese; Visibility; SciELO; Ranking (information retrieval); Library science; Internationalization; Distribution (mathematics); Bibliometrics; Web of science; Relevance (law); Production (economics); Citation; Inequality; Citation impact; Geography; Political science; MEDLINE; Regional science; Computer science; Business; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004095699,0.00009748086,0.0002837317,0.006200348,0.00009984749,0.00005744885,0.0001145143,0.00004827029,0.00001327674],"category_scores_gemma":[0.003725901,0.00007425324,0.00002449302,0.05881295,0.00007064958,0.0004159675,0.00006656117,0.0001165013,0.00001953953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001084915,"about_ca_system_score_gemma":0.00009881429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054676,"about_ca_topic_score_gemma":0.0008213227,"domain_scores_codex":[0.9984142,0.0001746554,0.0006182305,0.0002366693,0.0001553932,0.0004008794],"domain_scores_gemma":[0.9990444,0.0002158487,0.000351731,0.000196907,0.0001721443,0.00001901451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004981166,0.0001918054,0.7785442,0.0006997283,0.000008410092,0.000001859386,0.001007507,0.004242042,0.0001875537,0.003897865,0.1806975,0.03047173],"study_design_scores_gemma":[0.0001836677,0.00002468848,0.9139704,0.00004282469,0.000001743482,3.628424e-7,0.001151771,0.004860452,0.000001398447,0.00114583,0.07855686,0.00006007041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9268292,0.000137862,0.00003574221,0.07168644,0.000131785,0.0005936212,0.000003940043,0.00003513714,0.000546301],"genre_scores_gemma":[0.99384,0.000187303,0.00001928255,0.005636606,0.0002168732,0.00005773535,0.00002822221,0.000006281921,0.000007725774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354262,"threshold_uncertainty_score":0.9960421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05662555912396931,"score_gpt":0.3829813454406592,"score_spread":0.3263557863166899,"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."}}