{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009603858,0.0001251719,0.0001575678,0.0001067275,0.00007420633,0.00001017988,0.0001562992,0.0001324589,0.0001479064],"category_scores_gemma":[0.0000179396,0.00008155767,0.0000271255,0.000349256,0.0004677072,0.00004193818,0.0001038611,0.0001306716,0.000002799361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000989903,"about_ca_system_score_gemma":0.00001429399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008022481,"about_ca_topic_score_gemma":0.00001670154,"domain_scores_codex":[0.9993219,0.00001771698,0.0001490425,0.0002601766,0.000079798,0.0001713885],"domain_scores_gemma":[0.9996309,0.0000158136,0.00007395498,0.0002452562,0.00000940979,0.00002472236],"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":[0.0001025513,0.00008114427,0.2373424,0.00002157179,0.00001473438,0.000001014322,0.0001551416,0.000009884893,0.7560648,0.00004293807,0.0005826304,0.005581183],"study_design_scores_gemma":[0.0002840849,0.0006760627,0.3088586,0.00006254931,0.000009968369,0.000004215185,0.00008416582,0.0000243356,0.6884922,0.0000437411,0.001345762,0.0001143446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985675,0.0000475733,0.00001649765,0.0003153303,0.00001847919,0.0002183508,0.00001002785,0.00009361975,0.0007126084],"genre_scores_gemma":[0.9993555,0.0000355723,0.0004640706,0.00002327506,0.000006932791,0.00001526925,0.00000440275,0.000005007237,0.0000899595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0715162,"threshold_uncertainty_score":0.3325825,"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."}}