{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006848327,0.0004013348,0.000400444,0.0001995785,0.0004900239,0.000106864,0.0005785862,0.0003243411,0.0004913267],"category_scores_gemma":[0.0001605375,0.0003477739,0.0001758765,0.001135908,0.0006507026,0.0006483713,0.0002700792,0.000492743,0.0007569276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005066021,"about_ca_system_score_gemma":0.00009475527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005710328,"about_ca_topic_score_gemma":0.0003772097,"domain_scores_codex":[0.9966266,0.0002687233,0.0006624557,0.0006751718,0.001018078,0.0007490265],"domain_scores_gemma":[0.9984707,0.0000523813,0.000330442,0.0005979943,0.00005356985,0.0004948855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002091959,0.0005521699,0.8405331,0.0000311968,0.00008285925,0.00009212167,0.001078586,0.0001679827,0.1173567,0.0003051323,0.01312198,0.02646897],"study_design_scores_gemma":[0.0008852484,0.0004372163,0.9677303,0.00004345235,0.00004916676,0.00008036537,0.0001876114,0.000958479,0.0113679,0.0000521867,0.01774985,0.0004582238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918528,0.00004147762,0.0003083742,0.003186256,0.0006690313,0.0005559131,0.00001765192,0.0001440636,0.003224413],"genre_scores_gemma":[0.9971297,0.00001434357,0.0003404735,0.0009765642,0.0009313176,0.00002917596,0.0000275239,0.00005166389,0.0004992873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271972,"threshold_uncertainty_score":0.9998974,"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."}}