{"id":"W2087121241","doi":"10.1016/j.gca.2004.02.013","title":"Modeling diagenesis of lead in sediments of a Canadian Shield lake","year":2004,"lang":"en","type":"article","venue":"Geochimica et Cosmochimica Acta","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Universidad Autónoma de San Luis Potosí; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Ministry of Higher Education and Scientific Research","keywords":"Bioturbation; Diagenesis; Dissolution; Geology; Precipitation; Sediment; Diffusion; Mineralogy; Solubility; Benthic zone; Geochemical modeling; Environmental chemistry; Chemistry; Geomorphology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002082432,0.0008238872,0.0005007159,0.0005744261,0.002106357,0.001288265,0.001237056,0.001517966,0.001584986],"category_scores_gemma":[0.0006035949,0.0007219387,0.0007842223,0.0008302258,0.0007374504,0.0005790876,0.0004762877,0.0006470136,0.0001776609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066202,"about_ca_system_score_gemma":0.0106032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9332355,"about_ca_topic_score_gemma":0.9035159,"domain_scores_codex":[0.9998842,0.00001014684,0.000006472019,0.00003021279,0.00002366563,0.00004521998],"domain_scores_gemma":[0.9997138,0.00007636556,0.00002652405,0.00001168605,0.0001193569,0.00005204581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000161445,0.0001088711,0.0217134,0.00004025934,0.00004503889,0.0001201617,0.0001275143,0.9704255,0.004416086,0.0003831807,0.000308193,0.002150289],"study_design_scores_gemma":[0.00005914564,0.00004157389,0.011275,0.000003960788,0.00003162133,0.00001048291,0.0001345668,0.98654,0.001468867,0.0001453559,0.000265664,0.00002371293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966401,0.00004388003,0.000799901,0.00009305559,0.000006233421,0.00002055357,0.0005472191,0.00009522156,0.001753889],"genre_scores_gemma":[0.9972832,0.00005724736,0.001106757,0.00001645863,0.000001863513,0.00001174006,0.0003110774,0.00002083155,0.001190705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06676447,"threshold_uncertainty_score":0.1343153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088721060488425,"score_gpt":0.2357261259129276,"score_spread":0.2148389153080433,"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."}}