{"id":"W2096771949","doi":"10.1002/bit.21736","title":"Microbial response to environmental gradients in a ceramic‐based diffusion system","year":2008,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Toronto Metropolitan University","funders":"","keywords":"Diffusion; Matrix (chemical analysis); Ceramic; Materials science; Porosity; Steady state (chemistry); Biological system; Chemistry; Composite material; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001071439,0.0001589505,0.0001405268,0.0001150806,0.00009504415,0.000005260787,0.0001307489,0.0001743153,0.00005021907],"category_scores_gemma":[0.00001079455,0.0001458096,0.00002608384,0.0001768357,0.000244949,0.0000578999,0.0002239029,0.0001701483,0.0001700353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307434,"about_ca_system_score_gemma":0.00000218979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002745367,"about_ca_topic_score_gemma":0.000004369651,"domain_scores_codex":[0.9990691,0.00002508591,0.0001539819,0.0003093191,0.00009913047,0.0003433831],"domain_scores_gemma":[0.9996793,0.00002100973,0.00001913731,0.0001412403,2.329388e-7,0.0001390601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000126075,0.00009129827,0.03716194,0.000007828151,0.000003058367,0.0001135693,0.00005391905,0.0004549487,0.9609181,0.000009015582,0.00001837063,0.001041925],"study_design_scores_gemma":[0.001189125,0.000245754,0.5107566,0.00006945707,0.000008670535,0.0002686373,0.0000755978,0.01059571,0.4725612,0.000002641028,0.003851833,0.0003747084],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983002,0.00004680513,0.0005201647,0.0007168885,0.00007374951,0.0001822124,0.00001124052,0.00010222,0.0000465459],"genre_scores_gemma":[0.998726,0.00003887305,0.0009789459,0.0001801201,0.000008418023,0.000003946845,0.000002701918,0.00001224513,0.00004873459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4883568,"threshold_uncertainty_score":0.5945941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009728570100929472,"score_gpt":0.2047774508817221,"score_spread":0.1950488807807927,"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."}}