{"id":"W3021200102","doi":"10.20886/jklh.2020.14.1.43-52","title":"KANDUNGAN MERKURI DALAM BEBERAPA MEDIA SEKITAR PENAMBANGAN EMAS SKALA KECIL (PESK) DI KALIMANTAN TENGAH","year":2020,"lang":"id","type":"article","venue":"Jurnal Ecolab","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Water quality; Environmental science; National standard; Quality standard; Mercury contamination; Sediment; Contamination; Environmental chemistry; Fishery; Chemistry; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002926979,0.000831508,0.0003784302,0.0005870322,0.001246326,0.001363466,0.0004507886,0.0003736581,0.01628926],"category_scores_gemma":[0.0002372787,0.0002782633,0.0002309185,0.0008743681,0.0005423157,0.0007114486,0.0009816932,0.0005456432,0.002784462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096703,"about_ca_system_score_gemma":0.002217917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008672336,"about_ca_topic_score_gemma":0.0248726,"domain_scores_codex":[0.9998331,0.00001930695,0.00001644261,0.00004255896,0.0000468451,0.00004166878],"domain_scores_gemma":[0.9998668,0.00002201043,0.00002742845,0.00001203013,0.00004879583,0.00002287885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001240661,0.0007558613,0.1101672,0.002288141,0.0002305427,0.01289144,0.006132952,0.0024171,0.09716644,0.01891698,0.03566274,0.7121301],"study_design_scores_gemma":[0.0001235163,0.0004961324,0.3014193,0.0004998651,0.0002318467,0.01001063,0.0134112,0.00285173,0.03310942,0.002973305,0.6347423,0.0001307077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8024483,0.01087041,0.0035778,0.00318796,0.0004730592,0.0002627593,0.002240528,0.0006040559,0.1763352],"genre_scores_gemma":[0.8461672,0.007076372,0.008699663,0.0004702576,0.00006056344,0.0001294514,0.001743969,0.000102512,0.13555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01628926,"threshold_uncertainty_score":0.05449301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695703851605668,"score_gpt":0.2435784943437691,"score_spread":0.2166214558277124,"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."}}