{"id":"W4226335632","doi":"10.4103/ijph.ijph_1511_21","title":"A real-time investigation on public health consequences of chromium laden effluent from the leather industries","year":2022,"lang":"en","type":"article","venue":"Indian Journal of Public Health","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Population; Quarter (Canadian coin); Demographics; Public health; Effluent; Sanitation; Medicine; Business; Geography; Environmental science; Environmental engineering; Demography; Nursing; Pathology; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006261721,0.0001348619,0.0003187438,0.0001378343,0.000459861,0.00008419496,0.0004876741,0.00005444076,0.001804133],"category_scores_gemma":[0.0003668724,0.00009184879,0.00007301662,0.0006459344,0.0004228073,0.0003367623,0.0001065087,0.0005011639,0.0000292886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446589,"about_ca_system_score_gemma":0.00230156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004670433,"about_ca_topic_score_gemma":0.0002013573,"domain_scores_codex":[0.9959856,0.00166826,0.0007488859,0.0001903905,0.0009836507,0.0004232073],"domain_scores_gemma":[0.9974425,0.0003560691,0.00146202,0.0002199578,0.00003460732,0.0004848451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001127308,0.001070508,0.4337381,0.00009121899,0.0002553519,0.00007728297,0.09305931,0.0009752963,0.02683057,0.000935614,0.198062,0.244792],"study_design_scores_gemma":[0.003324287,0.009968646,0.8567973,0.0002189653,0.00002130594,0.000287813,0.01297444,0.0002420309,0.002821295,0.001666466,0.1111186,0.0005588277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8536915,0.000106776,0.00001149557,0.1454513,0.0002319954,0.0002816627,0.00007963329,0.00001047254,0.0001352263],"genre_scores_gemma":[0.9952035,0.0001017147,0.0001493517,0.004217603,0.000216631,0.000009439303,0.00003795958,0.00001295192,0.00005086014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4230592,"threshold_uncertainty_score":0.9991084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06190201802948262,"score_gpt":0.2702858326261106,"score_spread":0.2083838145966279,"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."}}