{"id":"W4280523043","doi":"10.2166/wp.2022.037","title":"Predictors of access to safe drinking water: policy implications","year":2022,"lang":"en","type":"article","venue":"Water Policy","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Business; Quarter (Canadian coin); Language change; Water sector; Population; Public economics; Water supply; Economic growth; Economics; Environmental health; Geography; Finance; Engineering; Medicine; Environmental engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002664033,0.0002139585,0.0003313011,0.001179095,0.0005541761,0.001619953,0.0005932135,0.0007684624,0.00683209],"category_scores_gemma":[0.01201128,0.0001847604,0.000510885,0.002251524,0.001090264,0.001433179,0.001423349,0.001685713,0.000307308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585535,"about_ca_system_score_gemma":0.003546274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05088307,"about_ca_topic_score_gemma":0.0428601,"domain_scores_codex":[0.9979587,0.001360217,0.00005544848,0.0001647503,0.0001163421,0.0003445878],"domain_scores_gemma":[0.9873194,0.008730754,0.002141385,0.0001704559,0.0005634168,0.001074592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004585738,0.0001477867,0.9742381,0.0001441451,0.000120913,0.0001144467,0.0003496554,0.003481462,0.00006086493,0.007928554,0.003572761,0.00979539],"study_design_scores_gemma":[0.00003295166,0.0001735782,0.9446002,0.001137062,0.0001962958,0.0000941666,0.01083308,0.01782117,0.0003006838,0.0178287,0.006950947,0.00003119529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9125348,0.006250204,0.002469201,0.06363471,0.0001914655,0.00005904006,0.002299041,0.00002897573,0.01253262],"genre_scores_gemma":[0.997452,0.00118284,0.0002384277,0.0003922674,0.00005093548,0.00001957386,0.0002477209,0.00000223028,0.0004140535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05088307,"threshold_uncertainty_score":0.1011738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583343225406216,"score_gpt":0.3173944934347798,"score_spread":0.2915610611807176,"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."}}