{"id":"W2904217146","doi":"10.1002/pamm.201800259","title":"Thermodynamical consistency of an anisotropic meanfield damage model for SMC composites","year":2018,"lang":"en","type":"article","venue":"PAMM","topic":"Composite Material Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Composite material; Anisotropy; Materials science; Consistency (knowledge bases); Composite number; Molding (decorative); Fiber; Sheet moulding compound; Isotropy; Matrix (chemical analysis); Mathematics; Physics; Geometry","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":[0.001067212,0.0003844667,0.0005985847,0.0009408838,0.0005481902,0.0007582245,0.0008451613,0.0009265569,0.0007517647],"category_scores_gemma":[0.001848525,0.00027745,0.0005536415,0.000246219,0.001621664,0.001119827,0.0005492459,0.0007003426,0.0001194459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008937488,"about_ca_system_score_gemma":0.0006986041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002964958,"about_ca_topic_score_gemma":0.001857505,"domain_scores_codex":[0.9996593,0.0001041265,0.00001106252,0.00005392623,0.0001301968,0.00004131561],"domain_scores_gemma":[0.9993617,0.0002749879,0.00009844648,0.00008549076,0.0001388254,0.00004062734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005018825,0.00008735606,0.002384261,0.00003683505,0.00002597376,0.0001293949,0.00008132803,0.9064877,0.01469352,0.07201865,0.0003619412,0.003642871],"study_design_scores_gemma":[0.000002367295,0.00001193846,0.00036887,0.000001551435,0.000001669155,0.00001463566,0.000003895958,0.9928194,0.0005628538,0.006134902,0.00007174643,0.000006089676],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6771634,0.0005509146,0.3107889,0.0005364094,0.00005939587,0.00005929835,0.0001312326,0.0001623402,0.01054814],"genre_scores_gemma":[0.9933119,0.00009353708,0.004459828,0.00003523616,0.00002600792,0.00003118496,0.0000440321,0.00004208538,0.001955993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002964958,"threshold_uncertainty_score":0.006484568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520649692647813,"score_gpt":0.2332862075648967,"score_spread":0.2180797106384186,"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."}}