{"id":"W1978919246","doi":"10.1016/j.camwa.2013.01.010","title":"Dynamics of fines/bacterial cells accumulation in trickle-bed reactors/bioreactors—Multiscale modeling framework","year":2013,"lang":"en","type":"article","venue":"Computers & Mathematics with Applications","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canada Research Chairs","keywords":"TRICKLE; Bioreactor; Dynamics (music); Biochemical engineering; Trickle-bed reactor; Biological system; Mathematics; Chemistry; Computer science; Engineering; Biology; Physics; Catalysis; Botany","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001622999,0.0001548686,0.0002272161,0.00006740519,0.00004605499,0.00004536387,0.0002674766,0.00009884963,0.0001185268],"category_scores_gemma":[0.00001714054,0.0001303325,0.00004283907,0.0003676001,0.00008269733,0.0002218355,0.0001010555,0.0001300965,0.00008825523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532539,"about_ca_system_score_gemma":0.00001039813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004070592,"about_ca_topic_score_gemma":0.0001087841,"domain_scores_codex":[0.9988213,0.00003661801,0.0004692654,0.0002559329,0.0002346639,0.0001821742],"domain_scores_gemma":[0.9990501,0.0002153155,0.0002148163,0.0004009753,0.0000364551,0.00008227253],"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":[0.0002424814,0.01268538,0.1057859,0.001726335,0.0002675899,0.000007158181,0.03998773,0.3192662,0.1568023,0.1332885,0.001582949,0.2283575],"study_design_scores_gemma":[0.0004264333,0.00003262795,0.007349106,0.00005903288,0.00001469909,0.000001228724,0.0001127346,0.9753031,0.001704182,0.01468793,0.00009192663,0.0002170493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4870704,8.392389e-7,0.5119008,0.000137564,0.00002500656,0.0005699976,0.000005723288,0.0000449411,0.0002446767],"genre_scores_gemma":[0.8689578,0.000002956123,0.1307302,0.00002871426,0.00002186874,0.0001613803,0.00005123307,0.00002124881,0.00002461477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6560369,"threshold_uncertainty_score":0.5314803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250177172323095,"score_gpt":0.2602124442570684,"score_spread":0.2351947270247589,"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."}}