{"id":"W2095215588","doi":"10.1007/s004499900110","title":"A hybrid representation approach for modelling complex dynamic bioprocesses","year":2000,"lang":"en","type":"article","venue":"Bioprocess and Biosystems Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Artificial neural network; Biological system; State variable; Representation (politics); Biochemical engineering; Computer science; Phenomenological model; Process (computing); Mathematics; Artificial intelligence; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000585658,0.0007182638,0.0009315907,0.0005759238,0.0003788587,0.001567511,0.001513739,0.001508435,0.002180846],"category_scores_gemma":[0.0009412433,0.0004443791,0.001145969,0.0008850629,0.0006039896,0.001679913,0.001102193,0.0009420417,0.0005509316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004023561,"about_ca_system_score_gemma":0.0005652566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003100033,"about_ca_topic_score_gemma":0.002615123,"domain_scores_codex":[0.9997321,0.00008442682,0.00002094351,0.00004028917,0.00009407765,0.00002819502],"domain_scores_gemma":[0.9996936,0.0001514777,0.00003222705,0.00004979652,0.000056614,0.00001633191],"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":[0.0000314298,0.00002680845,0.0001444569,0.00005430324,0.00003860071,0.00006385434,0.00004294753,0.9320554,0.002932862,0.04391629,0.0003260334,0.02036699],"study_design_scores_gemma":[0.000003652585,0.000009817801,0.00001822705,0.000002798321,0.000007404436,0.000009014907,0.000003688958,0.991667,0.0002956158,0.007266189,0.0007124727,0.000004145313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005611436,0.0001077254,0.9922951,0.00005816802,0.00001854948,0.00001468876,0.00005260192,0.0002225213,0.001619153],"genre_scores_gemma":[0.4655125,0.0005804968,0.5246376,0.0001049968,0.00005449522,0.0003162804,0.0004197648,0.0002260915,0.008147771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003100033,"threshold_uncertainty_score":0.007295668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352906127339752,"score_gpt":0.2119954847263138,"score_spread":0.1984664234529162,"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."}}