{"id":"W4382792805","doi":"10.1016/j.microc.2023.109042","title":"A smartphone-integrated imaging device for measuring nitrate and phosphate in soil and water samples","year":2023,"lang":"en","type":"article","venue":"Microchemical Journal","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Ministry of Education, India","keywords":"Soil test; Nitrate; Ascorbic acid; Environmental science; Hue; Remote sensing; Soil water; Chemistry; Soil science; Computer science; Geology; Artificial intelligence","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":[0.000284583,0.0007356976,0.0007752857,0.0005545602,0.0002800355,0.0002840502,0.001105824,0.001125792,0.004914305],"category_scores_gemma":[0.0004100926,0.0003199629,0.0003391063,0.000365487,0.0001526194,0.0003778036,0.0005386434,0.0003823329,0.001636785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298051,"about_ca_system_score_gemma":0.0004804343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001448204,"about_ca_topic_score_gemma":0.003418463,"domain_scores_codex":[0.9996414,0.0000305888,0.0000282699,0.0001007341,0.0001634308,0.00003558927],"domain_scores_gemma":[0.9997003,0.00005718752,0.0000265973,0.00002469217,0.0001511728,0.00004000229],"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":[0.0005322366,0.0001280799,0.003334027,0.0005736346,0.0000457801,0.0005060396,0.0001090833,0.0001250626,0.924454,0.0002144395,0.00657459,0.063403],"study_design_scores_gemma":[0.0003554895,0.003240421,0.04372309,0.0001376475,0.000378005,0.006559491,0.0003637444,0.03021511,0.8604944,0.0003978741,0.0538967,0.000237991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6735357,0.0067522,0.2788843,0.001675294,0.001472052,0.001744009,0.01150568,0.01195053,0.0124802],"genre_scores_gemma":[0.7486035,0.002261769,0.2147423,0.002055547,0.0002514801,0.001500024,0.003886202,0.0001610142,0.02653818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004914305,"threshold_uncertainty_score":0.01644003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536381042339227,"score_gpt":0.2105747630585451,"score_spread":0.1952109526351528,"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."}}