{"id":"W2969795692","doi":"10.1016/j.envpol.2019.113090","title":"Environmental legacy and catchment erosion modulate sediment records of trace metals in alpine lakes of southwest China","year":2019,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National Key Research and Development Program of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Sediment; Terrigenous sediment; Drainage basin; Environmental science; Smelting; Erosion; Deposition (geology); Pollution; Pollutant; Geology; Hydrology (agriculture); Physical geography; Geography; Ecology; Geomorphology","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":[0.0007032841,0.0004154824,0.0005793847,0.0001259929,0.00006900736,0.00001163426,0.0002617224,0.0001736674,0.003417491],"category_scores_gemma":[0.000009184108,0.0004098366,0.0001466594,0.0001441592,0.0006285375,0.0005989069,0.0004786546,0.0002380974,0.0003528277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007737687,"about_ca_system_score_gemma":0.000006616006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008066869,"about_ca_topic_score_gemma":0.00005745401,"domain_scores_codex":[0.9967604,0.0002122068,0.0009160814,0.0007543991,0.0008640143,0.0004929585],"domain_scores_gemma":[0.9987657,0.00003496715,0.000421885,0.0006016996,4.691834e-7,0.0001752974],"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":[0.00008770668,0.0008128901,0.2346458,0.00002752823,0.0000288324,0.000003352118,0.0009261413,0.01104942,0.7461417,0.00001584659,0.00002154099,0.006239299],"study_design_scores_gemma":[0.001355856,0.0004274688,0.8571056,0.0000473728,0.00004467265,0.00001153971,0.0005723658,0.001354165,0.1380348,0.0001007246,0.0006037655,0.0003416578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973341,0.0004643903,0.0001354979,0.0001591573,0.0002025088,0.0009787238,0.0001383027,0.00001607126,0.0005712616],"genre_scores_gemma":[0.9975864,0.000587773,0.001071904,0.00005219045,0.00001861028,0.00002618486,0.00004900854,0.00004480124,0.0005630894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6224598,"threshold_uncertainty_score":0.9998354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00577843137393951,"score_gpt":0.204933568004735,"score_spread":0.1991551366307955,"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."}}