{"id":"W4402926070","doi":"10.18280/mmep.110915","title":"Evaluating Polynomial, and Gaussian Approaches for Temperature Change Sub Index of Water Quality Index for Smart Environmental Management","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Polynomial; Gaussian; Environmental science; Quality (philosophy); Computer science; Mathematics; Statistics; Econometrics; Physics; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00337991,0.0009361981,0.0007678245,0.001891083,0.0004386718,0.001334325,0.001054274,0.0009901248,0.0008158156],"category_scores_gemma":[0.01134941,0.0002287382,0.001279078,0.002035728,0.0004969562,0.001781209,0.00110824,0.001175997,0.00048407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369938,"about_ca_system_score_gemma":0.001872867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0361107,"about_ca_topic_score_gemma":0.03734406,"domain_scores_codex":[0.9988219,0.0003573628,0.00007882169,0.0003845018,0.0002343423,0.000123106],"domain_scores_gemma":[0.9959633,0.002387222,0.0003984489,0.0003627095,0.0007425043,0.0001457289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005208473,0.0002605251,0.06754806,0.0002818712,0.0002769748,0.0001040718,0.0001837875,0.6670083,0.003461432,0.004731705,0.004801426,0.250821],"study_design_scores_gemma":[0.000007212181,0.00005264705,0.004343011,0.00001018898,0.00001843813,0.0000208509,0.00004967747,0.9924837,0.0005545678,0.001869753,0.0005774729,0.00001239013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3916982,0.003266213,0.5958815,0.001253222,0.0002133489,0.0001599814,0.002118103,0.002256897,0.003152644],"genre_scores_gemma":[0.9118268,0.0007191825,0.0836747,0.0001669233,0.00008046351,0.00007388896,0.002167501,0.0001059219,0.001184599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0361107,"threshold_uncertainty_score":0.07180101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188522276429285,"score_gpt":0.2913139042119292,"score_spread":0.1724616765690007,"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."}}