{"id":"W4206182665","doi":"10.36106/ijsr/3400705","title":"IMPACT OF COVID 19 ON DETECTION OF TUBERCULOSIS AT A COMMUNITY LEVEL HEALTH CENTER IN ALIGARH, INDIA","year":2021,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tuberculosis; Quarter (Canadian coin); Lakh; Medicine; Pandemic; Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Demography; Falling (accident); Environmental health; Disease; Health care; Pediatrics; Geography; Infectious disease (medical specialty); Economic growth; Internal medicine; Pathology; Agriculture","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":[],"consensus_categories":[],"category_scores_codex":[0.002005587,0.0003612379,0.0002935684,0.000947346,0.001886175,0.002314394,0.001653782,0.000965782,0.005152439],"category_scores_gemma":[0.01049357,0.0004179251,0.0004822757,0.001083744,0.0009809022,0.0007940226,0.003504611,0.002359162,0.0004617638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003838848,"about_ca_system_score_gemma":0.008446446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1961589,"about_ca_topic_score_gemma":0.187573,"domain_scores_codex":[0.995662,0.001727314,0.0002213055,0.0002119996,0.0006368976,0.001540414],"domain_scores_gemma":[0.9887865,0.002696605,0.001728749,0.000359796,0.001389432,0.005038974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005781871,0.001139046,0.9574091,0.0002573519,0.00008761722,0.002408942,0.00425938,0.0003020124,0.000639172,0.0003536722,0.008141768,0.02442372],"study_design_scores_gemma":[0.00003702262,0.0005178531,0.9888936,0.0001252656,0.00004636848,0.000298784,0.007638305,0.0003286875,0.000182677,0.00006003068,0.001845229,0.00002621596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845139,0.0004934253,0.00007283856,0.006001125,0.0001190169,0.0001503825,0.0008244907,0.00006294869,0.007761767],"genre_scores_gemma":[0.9971251,0.0002459822,0.0001066904,0.001305355,0.00004834102,0.00003954512,0.0003166319,0.000007280245,0.0008051203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1961589,"threshold_uncertainty_score":0.3900343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6407194050498479,"score_gpt":0.6002496987674016,"score_spread":0.04046970628244628,"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."}}