{"id":"W4411886866","doi":"10.1038/s43247-025-02471-2","title":"Mantle contributions to global tungsten recycling and mineralization","year":2025,"lang":"en","type":"article","venue":"Communications Earth & Environment","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"China Postdoctoral Science Foundation; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Tungsten; Mineralization (soil science); Mantle (geology); Geochemistry; Geology; Earth science; Metallurgy; Materials science; Soil science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003565712,0.000298499,0.0003276377,0.001663613,0.0003975921,0.000600099,0.0002123771,0.00024573,0.001367211],"category_scores_gemma":[0.0003195541,0.0001561282,0.0003003227,0.001460654,0.0004071021,0.0005149978,0.0008163478,0.000161204,0.0001584973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006984586,"about_ca_system_score_gemma":0.0005261091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334675,"about_ca_topic_score_gemma":0.01793421,"domain_scores_codex":[0.9998755,0.000009852316,0.000008257016,0.00004704528,0.0000295562,0.0000297329],"domain_scores_gemma":[0.999897,0.00001705868,0.00002306451,0.000016293,0.00003620136,0.0000104366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002612205,0.00001158303,0.7940213,0.0003020663,0.0002845143,0.0003869344,0.0006712761,0.003881774,0.1656247,0.00164867,0.0001138674,0.03279208],"study_design_scores_gemma":[0.000008832964,0.00003427363,0.9754679,0.00002990169,0.00010178,0.0002343067,0.0005896435,0.003197787,0.01668506,0.00106888,0.002567552,0.00001399947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977571,0.0004165798,0.0004241593,0.0000300382,0.000001405433,0.000002394318,0.0001812496,0.00001430349,0.001172765],"genre_scores_gemma":[0.9988336,0.0003181107,0.0002374129,0.000007668197,0.000001798852,0.000002322206,0.0001633535,0.000008259588,0.0004274926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01334675,"threshold_uncertainty_score":0.02653813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148024582788809,"score_gpt":0.2391165829824174,"score_spread":0.2276363371545293,"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."}}