{"id":"W7130948017","doi":"10.5281/zenodo.18735347","title":"Methodological Reassessment and Validation of Municipal Water Systems Reliability in Kenya Using Difference-in-Differences Analytics","year":2001,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Reliability (semiconductor); Kenya; Psychological intervention; Service (business); Intervention (counseling); Water supply; Service delivery framework; Analytics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3310589,0.0009786218,0.001338524,0.003074678,0.00298506,0.002631888,0.003788915,0.001673607,0.00113914],"category_scores_gemma":[0.4872359,0.00137437,0.002585328,0.004246421,0.004520048,0.001315867,0.004615746,0.002807092,0.0002802273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003554968,"about_ca_system_score_gemma":0.007525831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203835,"about_ca_topic_score_gemma":0.0212696,"domain_scores_codex":[0.5739687,0.357888,0.03424563,0.01008009,0.02084684,0.002970612],"domain_scores_gemma":[0.4566164,0.370742,0.03038238,0.0851517,0.055418,0.001689466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004172209,0.00222986,0.6381745,0.003511816,0.003670695,0.001031812,0.06149463,0.02043707,0.005050742,0.04227405,0.007879937,0.2100726],"study_design_scores_gemma":[0.0032234,0.009938255,0.663797,0.002091618,0.003179175,0.000977012,0.02618494,0.140501,0.03488864,0.03970039,0.07491063,0.0006079492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5348943,0.0008949778,0.4343882,0.001589539,0.0007268274,0.01944676,0.001310284,0.000377757,0.006371416],"genre_scores_gemma":[0.7903776,0.0001124327,0.1872347,0.0003332679,0.00006710105,0.02010121,0.0006631617,0.0001487769,0.0009617911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3310589,"threshold_uncertainty_score":0.8249235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1918050826960958,"score_gpt":0.3534278873769852,"score_spread":0.1616228046808893,"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."}}