{"id":"W7125518941","doi":"10.1109/iceamst67459.2025.11335735","title":"AI-Assisted IoT-Enabled Water Dispenser with Automated Safety and Hygiene Monitoring","year":2025,"lang":"","type":"article","venue":"","topic":"Intravenous Infusion Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Hygiene; Automation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000362019,0.0006043809,0.0007224449,0.000419502,0.000751823,0.0001232491,0.0003218582,0.0008163156,0.000835935],"category_scores_gemma":[0.00002791219,0.000423988,0.00008211933,0.0005938141,0.0002804733,0.0001553898,0.0003027103,0.0009206153,0.0001123434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373872,"about_ca_system_score_gemma":0.00007750257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001085181,"about_ca_topic_score_gemma":0.00005655978,"domain_scores_codex":[0.9972455,0.00006640061,0.0007753729,0.0006432311,0.0002126981,0.001056796],"domain_scores_gemma":[0.998797,0.00009128182,0.00004922237,0.0007263371,0.0001990786,0.0001370938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008667238,0.001874597,0.04814428,0.005916326,0.009965365,0.002014467,0.006687804,0.06374254,0.3778127,0.1478164,0.008405415,0.3189529],"study_design_scores_gemma":[0.006220376,0.000498816,0.07980045,0.001616037,0.0006145256,0.0002181664,0.000942948,0.2009493,0.6805105,0.001223244,0.02554133,0.001864346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640093,0.001127813,0.02404357,0.00684605,0.002909904,0.00137618,0.00002605486,0.009367812,0.09029338],"genre_scores_gemma":[0.9833698,0.0005139729,0.002799279,0.0002175684,0.00004620461,0.00002443985,0.00001123728,0.00006438197,0.01295311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3170886,"threshold_uncertainty_score":0.9998212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003914649233979953,"score_gpt":0.2143581247713951,"score_spread":0.2104434755374151,"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."}}