{"id":"W2620233672","doi":"10.11159/icepr17.160","title":"Evaluation on the Drinking Water Quality Concerning Bacteria and Inorganic Nitrogen Using Ten Spring Water Samples","year":2017,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spring (device); Water quality; Nitrogen; Environmental science; Environmental chemistry; Chemistry; Ecology; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001191641,0.0002047328,0.0002175891,0.0000281467,0.001284212,0.0004832979,0.001548135,0.0001030736,0.00001047165],"category_scores_gemma":[0.0006463025,0.00004815611,0.00006332482,0.0001218631,0.0004517831,0.0003440573,0.0009853198,0.0002653498,0.000005980138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005917552,"about_ca_system_score_gemma":0.000006847553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002972237,"about_ca_topic_score_gemma":0.0004317547,"domain_scores_codex":[0.9984387,0.00002583971,0.0002458206,0.0003889993,0.0005412911,0.0003594057],"domain_scores_gemma":[0.999177,0.0001424221,0.0003418689,0.0001523331,0.0001576181,0.00002879312],"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":[0.00002107191,0.00001179924,0.1594395,0.00000674719,0.00002188322,1.725656e-7,0.0001264581,0.000003136282,0.825981,0.002151703,0.0000860978,0.01215049],"study_design_scores_gemma":[0.0001007151,0.00004185046,0.1232039,0.0001911183,0.00003220996,0.000003578464,0.0008837901,0.00008135846,0.8647172,0.00985275,0.0007199098,0.0001716766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989664,0.00003523484,1.134491e-7,0.009200297,0.0001778336,0.0003686947,0.000004054932,0.0001548692,0.0003949014],"genre_scores_gemma":[0.9995629,0.00001627808,0.0001034448,0.00007440348,0.00007022326,0.00001467804,0.000001444735,0.000001873728,0.0001548128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03873623,"threshold_uncertainty_score":0.9877248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0768570444164648,"score_gpt":0.2755299831138461,"score_spread":0.1986729386973813,"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."}}