{"id":"W7097518731","doi":"","title":"www.mdpi.com/journal/ijerph Review Perchlorate: Health Effects and Technologies for Its Removal from Water Resources","year":2015,"lang":"en","type":"article","venue":"","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perchlorate; Potash; Human health; Surface water; Ion exchange; Potassium perchlorate","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":[0.0005797697,0.0001852981,0.000364642,0.00002087161,0.0001470893,0.00005882294,0.000226326,0.00007184046,0.0007434671],"category_scores_gemma":[0.0001158781,0.0001035341,0.00009861666,0.00009138334,0.0001566851,0.0002324575,0.00031977,0.0001535893,0.0003937632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002237999,"about_ca_system_score_gemma":0.000004214449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002025188,"about_ca_topic_score_gemma":0.00002796839,"domain_scores_codex":[0.9986656,0.00004980914,0.0002903433,0.000325586,0.0002837928,0.0003848498],"domain_scores_gemma":[0.9993436,0.00005912245,0.00008379827,0.0002228717,0.000004999276,0.0002855742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001866704,0.0004835674,0.01195804,0.0008431425,0.0002311535,0.00009190894,0.001728098,0.0001458261,0.205042,0.00002097479,0.4157619,0.3635067],"study_design_scores_gemma":[0.002013245,0.0009374027,0.003172725,0.001012531,0.0002428029,0.0002732825,0.00105153,0.001682308,0.1300912,0.006261292,0.8523068,0.0009548981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447799,0.03022953,0.0003491683,0.02248864,0.00006553664,0.0005233409,0.00001524955,0.0001115956,0.001437066],"genre_scores_gemma":[0.9542846,0.02737094,0.00687427,0.006271408,0.0001044061,0.00004982734,0.00006208068,0.00004624187,0.004936209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4365449,"threshold_uncertainty_score":0.8140443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330033927187175,"score_gpt":0.2624850959960192,"score_spread":0.2391847567241475,"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."}}