{"id":"W2022510264","doi":"10.1002/aic.10201","title":"Biomass accumulation and clogging in trickle‐bed bioreactors","year":2004,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Clogging; Bioreactor; Aeration; Chemistry; Biomass (ecology); Diffusion; Particle (ecology); Chemical engineering; Environmental engineering; Environmental science; Thermodynamics; Ecology","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":[0.0001787684,0.00008682947,0.0001261245,0.0001962024,0.00004661384,0.00003544618,0.00009069706,0.0001187722,0.00001946025],"category_scores_gemma":[0.0003106682,0.00006906251,0.00003535416,0.0001933434,0.00001849118,0.0001558854,0.00003182702,0.0003265294,0.000004733647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009177384,"about_ca_system_score_gemma":0.00001725003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003157622,"about_ca_topic_score_gemma":0.000004754818,"domain_scores_codex":[0.9994045,0.000008201275,0.0002065791,0.00009254929,0.0001020584,0.0001861299],"domain_scores_gemma":[0.9997323,0.00005335078,0.00005671305,0.00007476741,0.00001840259,0.00006443845],"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":[0.00003161411,0.00003701534,0.01871718,0.00001381974,0.0000204993,0.00004816306,0.000223211,0.001747558,0.947492,0.0004189809,0.0001182375,0.03113173],"study_design_scores_gemma":[0.01151975,0.0001756362,0.09664185,0.0004357396,0.00006450841,0.0005543263,0.001061911,0.02396331,0.8331168,0.02451589,0.00706626,0.0008839833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945711,0.0003518552,0.003317875,0.001192148,0.0001020614,0.00003508101,5.269631e-7,0.0001065277,0.0003228557],"genre_scores_gemma":[0.9987884,0.0001099303,0.0009607464,0.00003188378,0.00007750058,0.000001169073,7.718401e-7,0.000009552978,0.00002010218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1143752,"threshold_uncertainty_score":0.2816288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294573246153441,"score_gpt":0.2867547174239277,"score_spread":0.2572973928085836,"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."}}