{"id":"W4414415990","doi":"10.1016/j.dib.2025.112085","title":"A geocoded dataset of primary health care clinics in Brazil","year":2025,"lang":"en","type":"article","venue":"Data in Brief","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geocoding; Merge (version control); Georeference; Primary care; Health care; Primary health care; Public health; Health geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001330074,0.000118431,0.0004684628,0.0001955204,0.0001217917,0.000003236348,0.0007980549,0.0001577671,0.0001076617],"category_scores_gemma":[0.0001829627,0.000111641,0.00001562456,0.0004081965,0.00004573706,0.0001894717,0.001167172,0.0006877062,0.00004207225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000263621,"about_ca_system_score_gemma":0.001508129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04267753,"about_ca_topic_score_gemma":0.04342628,"domain_scores_codex":[0.9972341,0.0005183637,0.001184816,0.0004293372,0.0001881411,0.0004452494],"domain_scores_gemma":[0.9977867,0.0004310578,0.0002558554,0.001386181,0.00005348067,0.00008669696],"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":[0.0005048778,0.0001841282,0.5292163,0.01380783,0.00001054594,0.0000432323,0.002403796,0.000001428046,0.000007051334,0.001689753,0.3592474,0.09288362],"study_design_scores_gemma":[0.001382926,0.00004441903,0.3264117,0.001213673,0.000002711276,5.696332e-7,0.0008865307,0.00005735403,0.000004654123,0.0002558331,0.6696518,0.00008788728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5073725,0.01641889,0.0001394273,0.01924238,0.002389958,0.004504393,0.4422118,0.0001118026,0.007608871],"genre_scores_gemma":[0.4187841,0.005157015,0.003899519,0.1211592,0.0003253142,0.0002785712,0.4488857,0.00007013557,0.001440473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3104044,"threshold_uncertainty_score":0.9740287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09187191525433216,"score_gpt":0.5051354763703766,"score_spread":0.4132635611160445,"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."}}