{"id":"W7083627457","doi":"10.1016/j.powtec.2025.121663","title":"Design and optimize a novel hydrocyclone by combining mechanistic and data-driven models","year":2025,"lang":"en","type":"article","venue":"Powder Technology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Rio Tinto","keywords":"Hydrocyclone; Laminar flow; Conical surface; Inlet; Spiral (railway); Separation (statistics); Reduction (mathematics); Vortex; Flow (mathematics); Ligand cone angle","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000411084,0.0006239938,0.0004443503,0.000384571,0.0002360622,0.0008300336,0.0005416932,0.0004505253,0.001918689],"category_scores_gemma":[0.0004804919,0.0003566786,0.0004840541,0.0002318835,0.0003135764,0.0006714138,0.0003205595,0.000542118,0.0004357703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008604603,"about_ca_system_score_gemma":0.001409549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698321,"about_ca_topic_score_gemma":0.003198534,"domain_scores_codex":[0.9998242,0.00001583313,0.00001062228,0.00003612372,0.00009076342,0.00002246522],"domain_scores_gemma":[0.9998407,0.00004083444,0.00003698835,0.00002041542,0.00004828932,0.00001277021],"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":[0.0002057866,0.0001319283,0.001622626,0.0009409993,0.00003578594,0.0001640776,0.0000555569,0.8380296,0.1172538,0.008819765,0.0008637677,0.03187626],"study_design_scores_gemma":[0.0000456483,0.0003530017,0.0005367127,0.00003968119,0.00003662289,0.00004271022,0.00002977934,0.9265694,0.06262235,0.001441284,0.00825197,0.00003089496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4782798,0.003137677,0.4840712,0.0006414726,0.0001778252,0.0009106015,0.001698698,0.001191561,0.0298913],"genre_scores_gemma":[0.8894372,0.001341831,0.102711,0.00008502451,0.00001472717,0.0005956848,0.0006378265,0.0001132194,0.005063427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001918689,"threshold_uncertainty_score":0.006418705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894924746468016,"score_gpt":0.2507666397603044,"score_spread":0.2318173922956243,"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."}}