{"id":"W7018722975","doi":"","title":"Efficient multi-scale modelling of viscoelastic composites with different microstructures","year":2014,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Composite Material Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Technische Universität Dresden","keywords":"Context (archaeology); Viscoelasticity; Work (physics); Micromechanics; Composite number","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":[0.0002523347,0.0005798645,0.0005807536,0.0006095712,0.0004313048,0.001197326,0.0009701697,0.001731904,0.001657779],"category_scores_gemma":[0.0007072277,0.0004927879,0.0008591,0.0005048066,0.0006133968,0.0007379748,0.0009171588,0.0005771877,0.0003355663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006821495,"about_ca_system_score_gemma":0.0006941734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006659307,"about_ca_topic_score_gemma":0.005076248,"domain_scores_codex":[0.999858,0.00003258009,0.00001007444,0.00002628634,0.00004836887,0.00002452782],"domain_scores_gemma":[0.9997421,0.0001033697,0.00005359752,0.00003555,0.00004193651,0.00002334781],"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":[0.00001344232,0.00001777096,0.0003254155,0.00002184258,0.000007775055,0.0000488825,0.00002601633,0.9925921,0.003369218,0.001242418,0.00007092219,0.002264254],"study_design_scores_gemma":[0.00000109194,0.000004642071,0.00008163479,0.000001704849,0.000001339857,0.000005977181,0.000003540697,0.9993877,0.0002136763,0.0001338859,0.0001627585,0.000001948126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2759385,0.0008727583,0.7002075,0.0003424961,0.00009070511,0.0001527762,0.0005266853,0.001122894,0.02074558],"genre_scores_gemma":[0.9190514,0.0004640891,0.07513434,0.00004931493,0.00002000927,0.0001754658,0.0002687541,0.0001182182,0.004718329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006659307,"threshold_uncertainty_score":0.01324105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005074843956658841,"score_gpt":0.1423205084923076,"score_spread":0.1372456645356487,"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."}}