{"id":"W4413999749","doi":"10.5588/pha.25.0017","title":"Implementation of BMI field charts for nutritional assessment in adult patients with tuberculosis in Karnataka","year":2025,"lang":"en","type":"article","venue":"Public Health Action","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Tuberculosis; Pathology","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":[0.0004751706,0.00006877704,0.000205016,0.0005493217,0.00005735889,0.000009174022,0.00002587289,0.00005211752,0.00006204516],"category_scores_gemma":[0.00006184146,0.00006694574,0.00002476258,0.0004018674,0.00000887071,0.0001700374,0.000006874747,0.0001710532,4.6389e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006118927,"about_ca_system_score_gemma":0.0007521612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068362,"about_ca_topic_score_gemma":0.001194376,"domain_scores_codex":[0.9988329,0.00005818536,0.0004819233,0.0001674826,0.0002021607,0.0002573019],"domain_scores_gemma":[0.9993167,0.00009894852,0.0001373269,0.00008723008,0.0002615601,0.00009823983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001766372,0.0006732328,0.9236109,0.001922726,0.000009784602,2.324069e-7,0.0001305618,5.9507e-7,0.00001761941,0.003467221,0.002067182,0.06792327],"study_design_scores_gemma":[0.007858931,0.0004615976,0.9843022,0.0004248752,0.000004612694,7.025066e-7,0.000755508,0.000182583,0.000176079,0.0002549332,0.005531121,0.00004689724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8561969,0.00003341847,0.002430136,0.1387438,0.0002283866,0.001934564,0.00004257416,0.00002113184,0.000369089],"genre_scores_gemma":[0.9887701,0.0001441463,0.002336337,0.007838059,0.00004317645,0.0004549393,0.0003907472,0.000006069908,0.00001644979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1325732,"threshold_uncertainty_score":0.2729968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05267273008091364,"score_gpt":0.4456583250935073,"score_spread":0.3929855950125936,"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."}}