{"id":"W4409764999","doi":"10.1136/bmj.r791","title":"Countries should strengthen their health information systems","year":2025,"lang":"en","type":"letter","venue":"BMJ","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"World Health Organization","keywords":"Data science; Computer science; Information system; World Wide Web; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.02174776,0.00170513,0.001920832,0.002302554,0.01231379,0.01901114,0.004110521,0.2134574,0.0486531],"category_scores_gemma":[0.1061165,0.00264786,0.003252578,0.00208604,0.009115115,0.0184907,0.0143762,0.0950096,0.02958492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009379045,"about_ca_system_score_gemma":0.05395112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04363693,"about_ca_topic_score_gemma":0.06385117,"domain_scores_codex":[0.9737061,0.006446259,0.002894362,0.001594856,0.006714523,0.008643854],"domain_scores_gemma":[0.8865744,0.05214078,0.006823919,0.003778062,0.02109971,0.02958311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004503004,0.00003624586,0.0005118556,0.0000853642,0.00001323688,0.0003806542,0.0002077265,0.00005771158,0.0001319364,0.004945616,0.9894078,0.004176729],"study_design_scores_gemma":[0.000181722,0.0000547624,0.001830282,0.0005158563,0.00004188975,0.0002708753,0.001378685,0.0002447205,0.0001842135,0.01295304,0.9822288,0.0001153151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002808615,0.000293787,0.00017352,0.9787117,0.01449856,0.00004475614,0.0001198948,0.00005461232,0.005822338],"genre_scores_gemma":[0.000854394,0.0001490639,0.0003142435,0.9853134,0.004648639,0.00004703439,0.00004222397,0.00001931671,0.008611723],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2134574,"threshold_uncertainty_score":0.1627608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2639921390719649,"score_gpt":0.4672975775388113,"score_spread":0.2033054384668464,"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."}}