{"id":"W4390884953","doi":"10.31315/psb.v5i1.11634","title":"Analisis Kualitas Air Permukaan Akibat Limbah Peternakan Menggunakan Metode CCME WQI di Kalurahan Wijimulyo, Kapanewon Nanggulan, DIY","year":2024,"lang":"id","type":"article","venue":"Prosiding Seminar Nasional Teknik Lingkungan Kebumian SATU BUMI","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009544966,0.0007940612,0.0009570947,0.002314406,0.001518395,0.002508294,0.000536383,0.0008060533,0.007631058],"category_scores_gemma":[0.0009262321,0.0004870674,0.001197276,0.002141994,0.0007722883,0.0008601627,0.001100698,0.001237027,0.002231349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007374043,"about_ca_system_score_gemma":0.00116175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001018,"about_ca_topic_score_gemma":0.05354845,"domain_scores_codex":[0.9981973,0.0001552604,0.0001240538,0.0004080705,0.0008893838,0.0002259771],"domain_scores_gemma":[0.9990941,0.0001696947,0.0001154457,0.00005312781,0.0005168755,0.0000507917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001023873,0.0005155453,0.3997321,0.003034337,0.0005718759,0.001358741,0.007252565,0.001042085,0.4759023,0.001754389,0.005410879,0.1024012],"study_design_scores_gemma":[0.00001802353,0.0008601139,0.7428126,0.0005293366,0.0004188099,0.001073104,0.01401835,0.002225948,0.1564186,0.001133845,0.08035267,0.0001386482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329364,0.004300559,0.01199889,0.0004625973,0.0003365899,0.0007466974,0.01139652,0.0002388424,0.03758286],"genre_scores_gemma":[0.9069287,0.003884442,0.02119949,0.0005915666,0.00007764528,0.0007412516,0.007534447,0.0002683419,0.05877411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02001018,"threshold_uncertainty_score":0.03978741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805929055275535,"score_gpt":0.2781137918750116,"score_spread":0.2600545013222563,"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."}}