{"id":"W2105386656","doi":"10.1109/dtip.2008.4752971","title":"Simulation of coating -visco-elastic liquid in the Micro-nip of metering size press","year":2008,"lang":"en","type":"article","venue":"","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Coating; Materials science; NIP; Mechanics; Viscoelasticity; Rheology; Centrifugal force; Newtonian fluid; Flow (mathematics); Inertia; Composite material; Mechanical engineering; Engineering; Physics; Classical mechanics","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":[0.0001283068,0.00006784724,0.0001232297,0.00004873574,0.00001642241,0.000001696029,0.0001166006,0.00004524393,0.00001393739],"category_scores_gemma":[0.0001592538,0.00005619195,0.00002746665,0.0001401563,0.00002482804,0.00006805032,0.00001292392,0.00008639005,0.000001234445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001012817,"about_ca_system_score_gemma":0.000004223091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001472591,"about_ca_topic_score_gemma":0.000002717631,"domain_scores_codex":[0.9994886,0.00002071387,0.0002580945,0.00006500401,0.00006807563,0.00009950044],"domain_scores_gemma":[0.9990738,0.0007262195,0.00003420406,0.0001338722,0.00002125283,0.00001063989],"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":[0.000006313299,0.000009564624,0.0003758796,0.00005338289,0.000008776888,8.818342e-7,0.0008629772,0.9141437,0.08438934,0.00008852353,0.000005224342,0.0000553815],"study_design_scores_gemma":[0.0003311708,0.00005461054,0.0242129,0.00004420861,0.0000124404,0.000008717161,0.0001153876,0.8067391,0.1681498,0.00001489738,0.0001946153,0.0001221008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8194278,0.0001699827,0.1793568,0.000007525251,0.00005357656,0.000082406,0.000001628061,0.00005322117,0.000847024],"genre_scores_gemma":[0.9979245,0.00001655235,0.002005035,0.000006205056,0.00001592593,0.000006832925,0.000001257439,0.000009597259,0.00001408075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1784967,"threshold_uncertainty_score":0.2291441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109884359596502,"score_gpt":0.2310590247773621,"score_spread":0.2099601811813971,"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."}}