{"id":"W4413048859","doi":"10.1016/j.biortech.2025.133110","title":"Impact of microbial entrapment on sulfate-reducing bacteria performance and stability with temperature disturbances","year":2025,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rio Tinto","keywords":"Entrapment; Bacteria; Sulfate; Chemistry; Stability (learning theory); Biochemical engineering; Pulp and paper industry; Food science; Microbiology; Biology; Engineering; Computer science; Medicine; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002374276,0.0003365547,0.0002829951,0.0001285963,0.0001583467,0.000481064,0.0001742216,0.0002873816,0.0005898417],"category_scores_gemma":[0.0004540155,0.0001601272,0.0002872203,0.000126989,0.0002430465,0.0003046563,0.0002760129,0.0002640326,0.0001355378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348602,"about_ca_system_score_gemma":0.0001900957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328382,"about_ca_topic_score_gemma":0.001649049,"domain_scores_codex":[0.9997686,0.00003514728,0.00002590541,0.00005303763,0.00006779192,0.00004953377],"domain_scores_gemma":[0.9997911,0.00005754955,0.0000605686,0.00002010009,0.00004804851,0.00002265857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001216817,0.00002238806,0.0004945453,0.00002730744,0.000006984084,0.00002584263,0.00002107854,0.0002225577,0.9976368,0.00001043198,0.000007800394,0.001402562],"study_design_scores_gemma":[0.000002648721,0.0002775077,0.003185289,0.000002849438,0.00001031497,0.00002697486,0.00003376314,0.0008621356,0.9953817,0.000007227903,0.0002035901,0.000006054242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989268,0.0002047021,0.0005692051,0.00001434679,0.000007536839,0.000007612849,0.0000531406,0.00001675192,0.0001999059],"genre_scores_gemma":[0.9987847,0.0001332784,0.0006748318,0.000007156691,0.000001898147,0.000009292961,0.00004274118,0.000006536345,0.0003395477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001328382,"threshold_uncertainty_score":0.00264138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003472405022895302,"score_gpt":0.2109617459808615,"score_spread":0.2074893409579662,"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."}}