{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01012456,0.0006655926,0.001879594,0.1308221,0.001022486,0.006027783,0.0006827325,0.0005806161,0.003194059],"category_scores_gemma":[0.03831801,0.0002184571,0.001312598,0.2205857,0.001167957,0.002790985,0.003019904,0.0003301383,0.0003466994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766451,"about_ca_system_score_gemma":0.003459578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007230107,"about_ca_topic_score_gemma":0.004779578,"domain_scores_codex":[0.988741,0.003409808,0.002376899,0.0006814134,0.004292706,0.0004982064],"domain_scores_gemma":[0.9456029,0.03302722,0.01083445,0.001772876,0.007759534,0.001003012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002955277,0.0001568586,0.7811038,0.01703303,0.002121986,0.0005524972,0.008432055,0.00148075,0.0012596,0.006530602,0.005627748,0.1754056],"study_design_scores_gemma":[0.00003288691,0.0001255791,0.9457645,0.00267777,0.001142391,0.0008935899,0.01441528,0.002346206,0.000803459,0.004379056,0.02735649,0.0000626309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.875675,0.05090478,0.00221913,0.002062339,0.000143515,0.0004839186,0.0330274,0.0002193014,0.0352647],"genre_scores_gemma":[0.9742419,0.01448172,0.002943435,0.0000485791,0.0001975506,0.0002777543,0.007156366,0.00002571709,0.0006270317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8691779,"threshold_uncertainty_score":0.0535444,"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."}}