{"id":"W4318203758","doi":"10.31851/sainmatika.v19i2.9874","title":"Biokonsentrasi Timbal Dan Kadmium Terhadap Penaeus merguiensis Dalam Air Dan Sedimen Di Perairan Desa Sungsang I","year":2022,"lang":"en","type":"article","venue":"Sainmatika Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shrimp; Sediment; Penaeus; Water quality; Bioconcentration; Fishery; Shellfish; Environmental chemistry; Environmental science; Biology; Chemistry; Aquatic animal; Ecology; Bioaccumulation; Fish <Actinopterygii>","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002783642,0.001068196,0.001185643,0.0004215017,0.001918834,0.0003071641,0.001693981,0.0002604014,0.003224255],"category_scores_gemma":[0.000461413,0.001053999,0.0005811977,0.001315728,0.0006266588,0.001351994,0.001451649,0.001289867,0.0007408746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856722,"about_ca_system_score_gemma":0.0002254432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002651335,"about_ca_topic_score_gemma":0.0002602566,"domain_scores_codex":[0.989926,0.001656373,0.002049441,0.00146841,0.003093205,0.001806556],"domain_scores_gemma":[0.9959077,0.0003752323,0.001139569,0.001457814,0.00009077427,0.00102896],"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":[0.000891968,0.004978097,0.2019557,0.001884436,0.001652897,0.001607163,0.03246402,0.03454633,0.6340428,0.009148803,0.05844916,0.01837863],"study_design_scores_gemma":[0.008285194,0.002346362,0.6945155,0.0005106156,0.001170848,0.002267472,0.022854,0.02988018,0.07909269,0.001948874,0.1502197,0.006908638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810576,0.0002461387,0.0002407287,0.002480244,0.001512079,0.001988023,0.0001007775,0.0005284197,0.01184601],"genre_scores_gemma":[0.9909519,0.00004625972,0.003940856,0.001226053,0.0003366775,0.0004086522,0.0003894368,0.0002148726,0.002485297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5549501,"threshold_uncertainty_score":0.9993805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283253467023046,"score_gpt":0.236074134019191,"score_spread":0.2232415993489605,"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."}}