{"id":"W4413541387","doi":"10.64628/aap.jkhhfy7ta","title":"Here’s how to remove some persistent pollutants from your drinking water at home","year":2024,"lang":"en","type":"article","venue":"","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Pollutant; Environmental science; Water pollutants; Environmental chemistry; Water resource management; Chemistry; Organic chemistry","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002127791,0.0001644124,0.0001369294,0.00003964826,0.0001480356,0.0002102607,0.000219265,0.00006651491,0.01465852],"category_scores_gemma":[0.00000320488,0.0001097514,0.0001347118,0.00009867573,0.00005217006,0.0003274339,0.0005040748,0.0001021618,0.01297179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006379267,"about_ca_system_score_gemma":0.000006060747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007182545,"about_ca_topic_score_gemma":0.0002601003,"domain_scores_codex":[0.998482,0.00006026428,0.0001628594,0.000463607,0.0004194444,0.0004118175],"domain_scores_gemma":[0.9994833,0.00001657323,0.00001391384,0.0002720332,0.000002292274,0.0002118152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001619466,0.0003336845,0.0297064,0.00008005467,0.0005309922,0.0004897985,0.05413628,0.003164048,0.807524,0.003646004,0.05726726,0.04295955],"study_design_scores_gemma":[0.0007910974,0.0003182712,0.08749915,0.0001695499,0.0001297517,0.00005416938,0.005107,0.005203455,0.1427439,0.007477067,0.7488586,0.001648005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609357,0.00007500612,0.0002379006,0.02852,0.0007601951,0.0001655397,0.00006104336,0.000162557,0.009082127],"genre_scores_gemma":[0.9392383,0.000009408371,0.0007872768,0.002532805,0.0001415794,0.000007644784,0.0000118463,0.00001721411,0.05725397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6915914,"threshold_uncertainty_score":0.9877967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03508510500356359,"score_gpt":0.2609668300042908,"score_spread":0.2258817250007272,"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."}}