{"id":"W2754683047","doi":"10.1002/pc.24580","title":"Two dimensional long‐flexible fiber orientation simulation in squeeze flow","year":2017,"lang":"en","type":"article","venue":"Polymer Composites","topic":"Composite Material Mechanics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"General Motors of Canada","keywords":"Materials science; Compression molding; Flow (mathematics); Fiber; Simple shear; Orientation (vector space); Shear (geology); Shear flow; Composite material; Molding (decorative); Mechanics; Geometry; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00006678628,0.0001659143,0.0001652154,0.0001137491,0.0001589876,0.0001862255,0.0002009969,0.00005512933,0.0002806122],"category_scores_gemma":[0.00001181106,0.0001828417,0.00004093996,0.00006627228,0.00002152461,0.0003387583,0.00009369563,0.000096565,0.0002128627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007051864,"about_ca_system_score_gemma":0.000008393603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001238256,"about_ca_topic_score_gemma":0.00004500596,"domain_scores_codex":[0.9991652,0.00002209415,0.000222625,0.0001895317,0.0001718434,0.000228722],"domain_scores_gemma":[0.9994012,0.00007095337,0.00005305323,0.0003851296,0.00002979876,0.00005985516],"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":[0.00005137212,0.00003626389,0.003822531,0.00002886913,0.00001981878,0.00001221243,0.0001306876,0.6507292,0.33951,0.000357806,0.00004307966,0.005258129],"study_design_scores_gemma":[0.0005444773,0.00001693682,0.00814513,0.00004262363,0.00001099817,0.000003223331,0.000001396213,0.5906408,0.4001351,0.0002000343,0.00008102559,0.0001781903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945691,0.0003324644,0.001994017,0.00006282227,0.001017677,0.0001702812,0.00001391614,0.0002340105,0.001605715],"genre_scores_gemma":[0.9978415,0.000001735154,0.001641439,0.00002817915,0.0001739268,0.00001376198,0.00005093327,0.00003756639,0.0002109828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06062514,"threshold_uncertainty_score":0.7456068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352700282539872,"score_gpt":0.265908218947691,"score_spread":0.2523812161222923,"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."}}