{"id":"W2110660896","doi":"10.1002/cjce.5450780212","title":"Modelling and analysis of membrane‐attached biofilms","year":2000,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass transfer; Membrane; Substrate (aquarium); Diffusion; Flux (metallurgy); Limiting; Biofilm; Chemistry; Mass transport; Biophysics; Chemical engineering; Chemical physics; Materials science; Biochemical engineering; Thermodynamics; Chromatography; Biology; Biochemistry; Physics; Bacteria; Organic chemistry; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001504589,0.00009402307,0.0002476677,0.0002235026,0.00001919342,0.00001750296,0.0001299462,0.00005677227,0.0002539315],"category_scores_gemma":[0.00000698397,0.00007635308,0.0001061961,0.0003744987,0.00003355346,0.00006421265,0.00000100028,0.0001907324,0.000001072545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003074721,"about_ca_system_score_gemma":0.00003993974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002844386,"about_ca_topic_score_gemma":0.00008249839,"domain_scores_codex":[0.9993777,0.000004256571,0.0003049749,0.00004843335,0.0001055237,0.0001591429],"domain_scores_gemma":[0.9995578,0.00003398183,0.00002686592,0.0000984123,0.00003289844,0.0002500626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003195803,0.000001151184,0.00006174997,0.00002223437,0.000261114,0.000005852195,0.0002619736,0.974067,0.02492015,0.00006800295,0.00001278944,0.0003147842],"study_design_scores_gemma":[0.000137208,0.000005282273,0.00009905923,0.00002322355,0.0002819783,0.00002302113,0.000004318953,0.9206201,0.07805938,0.000008484158,0.0006468333,0.00009115559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970146,0.0005338515,0.001817659,0.00006902141,0.00004669869,0.00002685759,0.000008537198,0.00001341824,0.0004693847],"genre_scores_gemma":[0.9992631,0.0000288826,0.0006187368,0.00001803156,0.00003600153,4.733467e-7,0.00000372928,0.00001344477,0.00001761106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05344694,"threshold_uncertainty_score":0.3113588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027954355046004,"score_gpt":0.1888282288398631,"score_spread":0.1785486852894031,"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."}}