{"id":"W1989874468","doi":"10.1016/j.compchemeng.2009.04.001","title":"Modelling of forward roll coating flows with a deformable roll: Application to non-Newtonian industrial coating formulations","year":2009,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coating; Newtonian fluid; Deformation (meteorology); Mechanics; Convergence (economics); Materials science; Finite element method; Elastomer; Non-Newtonian fluid; Work (physics); Computer science; Mechanical engineering; Structural engineering; Composite material; Engineering; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001081726,0.0002976642,0.0004617974,0.0001451376,0.00009064029,0.00002135983,0.0002672808,0.0001955224,0.000001489157],"category_scores_gemma":[0.00006495621,0.0002953779,0.0001014934,0.0004517041,0.00001990416,0.0001776404,0.0001023713,0.0004005936,0.000004136875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303033,"about_ca_system_score_gemma":0.00002360153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002540562,"about_ca_topic_score_gemma":0.000001097328,"domain_scores_codex":[0.9984224,0.000004633987,0.0005299262,0.0003414831,0.0002106006,0.0004909515],"domain_scores_gemma":[0.9991956,0.0001599183,0.0001045753,0.0002705473,0.00009883023,0.0001704708],"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":[0.00003456903,0.00002188899,0.0000834012,0.0000312819,0.00003933252,9.041628e-7,0.0002521216,0.730567,0.2673268,0.0007663197,0.00001524724,0.0008611325],"study_design_scores_gemma":[0.0008140982,0.00006953196,0.00001677124,0.000198857,0.00003391472,0.000007949359,0.00001697219,0.9598401,0.03859673,0.00006822072,0.00002906636,0.0003078257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2214072,0.00002588264,0.7777572,0.00007183469,0.00006755999,0.0002678047,0.000004659016,0.0001800832,0.0002177893],"genre_scores_gemma":[0.7888349,0.000001780399,0.2108593,0.00004248515,0.0001552711,0.00003275743,0.00002570912,0.00002990949,0.00001788052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5674278,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114411934284096,"score_gpt":0.2012891500108475,"score_spread":0.1901450306680066,"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."}}