{"id":"W4399506332","doi":"10.52768/2993-1142/1140","title":"Prevalence of Diseases in Internally Displaced Persons Camps during Climate Change (Flooding) in a Low-Income Setting","year":2024,"lang":"en","type":"article","venue":"Med Discoveries","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internally displaced person; Descriptive statistics; Flooding (psychology); Quarter (Canadian coin); Medicine; Environmental health; Geography; Demography; Socioeconomics; Psychology; Statistics; Population; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004001175,0.0001945349,0.000236371,0.0001283124,0.00004868199,0.00007893927,0.000277725,0.00004276539,0.0004966669],"category_scores_gemma":[0.0003627664,0.0001749605,0.00008063137,0.0004191553,0.0002408549,0.001004045,0.0004963214,0.000171147,0.00003999763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005187012,"about_ca_system_score_gemma":0.00003056372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00135246,"about_ca_topic_score_gemma":0.001868336,"domain_scores_codex":[0.9982516,0.0001312839,0.00038071,0.0004137224,0.0003754145,0.0004472416],"domain_scores_gemma":[0.9993476,0.0002040711,0.00008617699,0.0002618245,0.000002436125,0.00009791202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001121058,0.00008378167,0.9814809,0.002127248,0.000006132209,0.00008252104,0.01161303,0.0002465054,0.00377863,0.00004121937,0.00001936042,0.0004085973],"study_design_scores_gemma":[0.0003284927,0.00003456443,0.9935251,0.001762268,0.00001559006,0.000003690047,0.0006735508,0.001459034,0.001860213,0.00009770684,0.00003461696,0.0002052028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997892,0.0003716847,0.00002368032,0.0006385879,0.000139507,0.0003237393,0.0003114789,0.00006029661,0.0002389943],"genre_scores_gemma":[0.9993459,0.00005956924,0.00004472382,0.00008008833,0.00002909614,0.00008331586,0.000004281835,0.00002095341,0.0003320974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0120442,"threshold_uncertainty_score":0.7134682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310078262874586,"score_gpt":0.2893690395313496,"score_spread":0.2762682569026037,"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."}}