{"id":"W2905883474","doi":"10.2166/wh.2018.266","title":"Advancing performance evaluation standards for household water treatment technologies","year":2018,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Water treatment; Environmental science; Environmental engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001251389,0.0000947884,0.0002174736,0.0001555828,0.000277425,0.00005262373,0.00006161938,0.00004271231,0.00001170419],"category_scores_gemma":[0.000008170657,0.00004699371,0.00005016597,0.00002625115,0.00004625763,0.0003417003,0.00001472718,0.00007254706,0.000001066783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003746495,"about_ca_system_score_gemma":0.00004485888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001486966,"about_ca_topic_score_gemma":0.00001538785,"domain_scores_codex":[0.9989954,0.00003100293,0.0003472233,0.0001017623,0.0002405701,0.000284002],"domain_scores_gemma":[0.9994441,0.000009409711,0.00009468201,0.00008319988,0.0003093797,0.00005922392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005974946,0.000745188,0.0292834,0.001131158,0.0001706729,0.000005430056,0.02577709,0.0001276359,0.01977704,0.00003554391,0.03381726,0.8831546],"study_design_scores_gemma":[0.005325217,0.008131136,0.004041208,0.000273102,0.00006536733,0.0001214906,0.0003595869,0.0005277244,0.8584346,0.001784588,0.1207883,0.0001477277],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607234,0.0004599588,0.0003976897,0.03737674,0.0006120437,0.0003473959,0.00001505029,0.00003425618,0.00003348075],"genre_scores_gemma":[0.9977111,0.0003923647,0.0008278405,0.0005786339,0.0004422858,0.000007334092,0.000009138777,0.00001222231,0.00001905752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8830069,"threshold_uncertainty_score":0.2133757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05450566967721209,"score_gpt":0.3697517467194414,"score_spread":0.3152460770422293,"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."}}