{"id":"W4413407379","doi":"10.1016/j.hydromet.2025.106554","title":"Advancements in siderophore-based technologies for metal biorecovery","year":2025,"lang":"en","type":"article","venue":"Hydrometallurgy","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Chemistry; Siderophore; Biochemical engineering; Environmental chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002137889,0.001068587,0.001224702,0.001465364,0.0003648547,0.001979899,0.001006477,0.001229178,0.00179168],"category_scores_gemma":[0.001283707,0.0005658204,0.001105159,0.001258806,0.0008136491,0.002347186,0.001411566,0.001839365,0.00150887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009894005,"about_ca_system_score_gemma":0.001075395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005158367,"about_ca_topic_score_gemma":0.001042456,"domain_scores_codex":[0.9987549,0.0002113408,0.0001267744,0.0002600387,0.0005406077,0.0001062526],"domain_scores_gemma":[0.9992136,0.0003210848,0.0001258819,0.00007166866,0.0002274623,0.00004025707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001468703,0.0002116733,0.000852718,0.01434944,0.0001588764,0.000437064,0.000347006,0.00191019,0.6890875,0.01542907,0.002634906,0.2744347],"study_design_scores_gemma":[0.00002606688,0.001070199,0.001852304,0.001315337,0.000235964,0.001555979,0.0003744327,0.002951856,0.5362015,0.00523071,0.4490759,0.0001097313],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08900131,0.7625276,0.116911,0.003879363,0.001102002,0.0003352892,0.000653382,0.0005706818,0.02501925],"genre_scores_gemma":[0.2113705,0.6994761,0.07778893,0.001148477,0.0004562472,0.0003294761,0.0007624903,0.0001578565,0.008509996],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002137889,"threshold_uncertainty_score":0.01130635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009088706961125683,"score_gpt":0.2425219006680642,"score_spread":0.2334331937069385,"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."}}