{"id":"W2329300168","doi":"10.5588/ijtld.13.0836","title":"Extending tuberculosis notification to the private sector in India: programmatic challenges?","year":2014,"lang":"en","type":"article","venue":"The International Journal of Tuberculosis and Lung Disease","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"World Health Organization","keywords":"Medicine; Private sector; Tuberculosis; Government (linguistics); Notifiable disease; Public health; Enforcement; Public sector; Punitive damages; Environmental health; Economic growth; Medical emergency; Nursing","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":[0.002353309,0.0001647516,0.0003170432,0.000312796,0.00009803332,0.0000852852,0.0004951298,0.00005392943,0.00005849563],"category_scores_gemma":[0.001665886,0.00008738405,0.000185912,0.0001887641,0.00009021204,0.0001496501,0.0001400831,0.0004031301,0.00002046074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741733,"about_ca_system_score_gemma":0.00007148751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003762147,"about_ca_topic_score_gemma":0.00002360979,"domain_scores_codex":[0.9978188,0.000358672,0.0006035708,0.0002189971,0.0006996939,0.0003003145],"domain_scores_gemma":[0.9982504,0.0005426806,0.0002169196,0.0003092909,0.0002800378,0.0004006784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005770383,0.001974214,0.5351669,0.000677109,0.003581549,0.0003401465,0.004732802,0.001363434,0.005568319,0.0291397,0.01430207,0.3973834],"study_design_scores_gemma":[0.0009070442,0.0001908076,0.9780296,0.0004091482,0.0002523944,0.0001651452,0.0001807325,0.008847445,0.0001146006,0.000969103,0.009810865,0.0001231292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8088706,0.00324285,0.00021361,0.1866551,0.0002966508,0.0004412308,0.000007510777,0.00001064994,0.0002618029],"genre_scores_gemma":[0.992211,0.002829358,0.0001888842,0.003930785,0.0007260257,0.00005610019,0.000009026017,0.00001904051,0.00002974332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4428627,"threshold_uncertainty_score":0.3563418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421947959794448,"score_gpt":0.3223915107022196,"score_spread":0.2981720311042751,"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."}}