{"id":"W4389322905","doi":"10.20527/es.v19i4.17785","title":"ANALISIS KUALITAS AIR SUNGAI BALANGAN DI KABUPATEN BALANGAN BERDASARKAN PARAMETER FISIK DAN KIMIA (LOGAM TERLARUT)","year":2023,"lang":"en","type":"article","venue":"EnviroScienteae","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water quality; Environmental science; Hydrology (agriculture); Pollutant; Sampling (signal processing); Toilet; Quarter (Canadian coin); Environmental engineering; Geography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009503309,0.0004540343,0.0003952717,0.0002702626,0.0004778804,0.0001464547,0.001422965,0.00026985,0.00027679],"category_scores_gemma":[0.0004150534,0.0004041503,0.0002101833,0.001423178,0.0009570935,0.0004845044,0.001617729,0.0004394834,0.002682439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003624951,"about_ca_system_score_gemma":0.00001079239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009772773,"about_ca_topic_score_gemma":0.00008522548,"domain_scores_codex":[0.9959713,0.0002709608,0.0005070838,0.001152903,0.0009500041,0.001147778],"domain_scores_gemma":[0.9979049,0.0002207445,0.0001657971,0.001419152,0.000008793753,0.0002805956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001525437,0.0001627084,0.9029779,0.00001977524,0.00003081388,0.0001037934,0.001437151,0.0005345681,0.06456318,0.0001196159,0.02790687,0.002128374],"study_design_scores_gemma":[0.0003736589,0.0001405984,0.9141228,0.0000250337,0.00003378383,0.00001257539,0.001052733,0.0006498523,0.04824409,0.000681828,0.03404795,0.00061514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937643,0.00001819393,0.00009422466,0.002065414,0.000819577,0.0003402811,0.0001183284,0.001443324,0.001336311],"genre_scores_gemma":[0.9953525,0.00002145106,0.0008287556,0.0003192698,0.0001049444,0.00007839357,0.0001321249,0.00006809012,0.003094479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0163191,"threshold_uncertainty_score":0.999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698916499826175,"score_gpt":0.2644981970723396,"score_spread":0.2375090320740779,"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."}}