{"id":"W2084358898","doi":"10.1021/es051476r","title":"Volatile Metals and Metalloids in Hydrothermal Gases","year":2006,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Technische Universität Bergakademie Freiberg; Studienstiftung des Deutschen Volkes; Korea Institute for International Economic Policy","keywords":"Environmental chemistry; Chemistry; Metalloid; Dissolution; Hydrothermal circulation; Nickel; Zinc; Diffusion; Mineralogy; Metal; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008210183,0.0003015994,0.0003074812,0.0004301005,0.000280586,0.00003673081,0.0007004292,0.0001649699,0.002960454],"category_scores_gemma":[0.00003809214,0.000283855,0.00004893438,0.001095945,0.006129784,0.0006348037,0.001084185,0.0002738239,0.0007465407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007117277,"about_ca_system_score_gemma":0.0000119713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003444057,"about_ca_topic_score_gemma":0.0001298736,"domain_scores_codex":[0.9969748,0.00005406645,0.0004303053,0.0009732908,0.000706846,0.000860688],"domain_scores_gemma":[0.9991518,0.00003699667,0.0001098833,0.0005643552,6.868543e-7,0.0001363125],"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":[0.000005928583,0.00025614,0.314009,0.000001505533,0.000003234095,0.00003238758,0.0000459426,0.001655045,0.6747954,0.0006805215,0.00004735503,0.00846758],"study_design_scores_gemma":[0.0006236388,0.0001862338,0.7182438,0.000008987658,0.00002010949,0.0001214452,0.0001993354,0.002023635,0.2514796,0.006051954,0.02045776,0.0005834483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896619,0.0003614274,0.0002016433,0.0004351761,0.00007324016,0.0003946299,0.000007506706,0.00009838596,0.008766108],"genre_scores_gemma":[0.9952151,0.00006127569,0.003650337,0.0001261093,0.00001807009,0.00008435747,0.000003132186,0.00002575852,0.0008158408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4233158,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004294231719735089,"score_gpt":0.2055348020787338,"score_spread":0.2012405703589987,"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."}}