{"id":"W4320912994","doi":"10.1038/d41586-023-00471-w","title":"Creating a paper device to improve public health in Nepal","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Chemist; Test (biology); Public health; Environmental health; Computer science; Waste management; Engineering; Medicine; Chemistry; Biology; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.00215159,0.0004249401,0.0002427329,0.0009021616,0.001500695,0.003360709,0.001403154,0.002783108,0.005567384],"category_scores_gemma":[0.002151863,0.0002566942,0.0003926518,0.000682725,0.001205046,0.002181018,0.00183779,0.001243203,0.002261103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008491575,"about_ca_system_score_gemma":0.00206876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564456,"about_ca_topic_score_gemma":0.002352833,"domain_scores_codex":[0.9985346,0.0004560704,0.00009151678,0.0001912587,0.0005852219,0.0001413978],"domain_scores_gemma":[0.9986292,0.00042217,0.0001233816,0.000143093,0.000553072,0.0001291324],"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":[0.0005155498,0.001373896,0.01364508,0.002042329,0.00007406456,0.002432006,0.00618589,0.0009759844,0.3687496,0.03759948,0.02447699,0.5419291],"study_design_scores_gemma":[0.00009967895,0.002965847,0.01265228,0.0006911836,0.0001409281,0.00272628,0.01166569,0.003798328,0.4597552,0.01308739,0.4922533,0.0001639182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5729901,0.01517921,0.1987278,0.03959455,0.007058041,0.001817224,0.001231733,0.00162476,0.1617766],"genre_scores_gemma":[0.6309985,0.008575764,0.2278996,0.007112647,0.0004381599,0.0005199498,0.0004499374,0.0001731585,0.1238323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005567384,"threshold_uncertainty_score":0.01862472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110574276366667,"score_gpt":0.2587482955110491,"score_spread":0.2476908678743824,"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."}}