{"id":"W4400550771","doi":"10.29303/jstl.v10i2.564","title":"Evaluasi Penyerapan Kadar Logam Pada Daun Tanaman Wetland Pasca Pengolahan Limbah Cair Tenun","year":2024,"lang":"en","type":"article","venue":"Jurnal Sains Teknologi & Lingkungan","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Cadmium; Atomic absorption spectroscopy; Chemistry; Dry weight; Nitric acid; Chromium; Metal; Copper; Environmental chemistry; Nuclear chemistry; Horticulture; Inorganic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001337666,0.0004385687,0.0003989205,0.0002287879,0.0004731386,0.0002720875,0.0006531416,0.0003438832,0.0003692313],"category_scores_gemma":[0.0005198835,0.0003676614,0.0002586559,0.0008530979,0.0003601369,0.000575772,0.0003232709,0.0009692411,0.002162043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008412964,"about_ca_system_score_gemma":0.0001277285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005090144,"about_ca_topic_score_gemma":0.001695896,"domain_scores_codex":[0.9963012,0.0003293611,0.0006608011,0.0008689382,0.000973888,0.0008658603],"domain_scores_gemma":[0.9985905,0.0002041263,0.0001769441,0.0005892519,0.00003554596,0.0004036686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009283057,0.0004040334,0.02561669,0.00009327959,0.0002301655,0.0005802441,0.001765848,0.001346365,0.871778,0.001485878,0.01685539,0.07975132],"study_design_scores_gemma":[0.00145933,0.001336916,0.3117639,0.0002351264,0.0003276818,0.0004205804,0.0007841903,0.0160836,0.1172728,0.003066173,0.5454559,0.001793812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899211,0.0006768335,0.000410172,0.00379833,0.001386028,0.0005204949,0.00003964008,0.0005953936,0.002651994],"genre_scores_gemma":[0.9955011,0.0002584851,0.0008304774,0.000705906,0.0007210411,0.00003525669,0.00004606471,0.00006781453,0.001833869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7545052,"threshold_uncertainty_score":0.9998775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474502575505378,"score_gpt":0.261811412831113,"score_spread":0.2470663870760592,"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."}}