{"id":"W2760418442","doi":"10.29122/jai.v8i2.2373","title":"ANALISIS CEMARAN LIMBAH INDUSTRI DAN DOMESTIK TERHADAP BIOTA LAUT DI PERAIRAN KOTA TANJUNGPINANG, PROVIPNSI KEPULAUAN RIAU","year":2018,"lang":"en","type":"article","venue":"Jurnal Air Indonesia","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Biota; Environmental science; Pollution; Marine ecosystem; Environmental chemistry; Pollutant; Aquatic ecosystem; Contamination; Environmental protection; Ecosystem; Chemistry; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003365539,0.000592276,0.0003488599,0.00216395,0.001087491,0.001181854,0.0002885709,0.0005520023,0.003797895],"category_scores_gemma":[0.0002793113,0.0002667944,0.0003032404,0.002083518,0.0004851156,0.0002812554,0.0005356292,0.000345236,0.0009440882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328384,"about_ca_system_score_gemma":0.0005989607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374323,"about_ca_topic_score_gemma":0.04658512,"domain_scores_codex":[0.9996445,0.0000277389,0.00002499936,0.00009456502,0.0001532097,0.0000549003],"domain_scores_gemma":[0.9998024,0.00002959714,0.00003403586,0.00001012136,0.0001001685,0.00002367922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004209139,0.0002284122,0.6092802,0.0009748444,0.0002193803,0.003475158,0.01129655,0.0002299226,0.2912266,0.0005337343,0.001904852,0.0802094],"study_design_scores_gemma":[0.000007602235,0.000214381,0.9395503,0.0001503948,0.0001085563,0.001576419,0.01028636,0.000335865,0.02134817,0.000209937,0.02618668,0.0000253396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988641,0.001485211,0.001124009,0.0001025276,0.00004041132,0.00008132826,0.001785861,0.00003684647,0.00670272],"genre_scores_gemma":[0.9729885,0.002151799,0.004449053,0.0002345972,0.00002561751,0.0001502067,0.002215604,0.00003410257,0.0177505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374323,"threshold_uncertainty_score":0.02732646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468566434684224,"score_gpt":0.2493507637604382,"score_spread":0.234665099413596,"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."}}