{"id":"W3149641826","doi":"10.1016/j.coco.2021.100715","title":"Trace theory applied to composite analysis: A comparison with micromechanical models","year":2021,"lang":"en","type":"article","venue":"Composites Communications","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"TRACE (psycholinguistics); Stiffness; Micromechanics; Materials science; Composite material; Computer science; Composite number","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":[0.000311976,0.0003619693,0.0007469598,0.0002835535,0.0003200556,0.0002089954,0.002976252,0.0001342307,0.00007807526],"category_scores_gemma":[0.00001335506,0.0003701851,0.0001532956,0.002047779,0.0001008071,0.0001953845,0.001268105,0.0005756284,0.0001300137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009537598,"about_ca_system_score_gemma":0.0000431526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006119249,"about_ca_topic_score_gemma":0.000141283,"domain_scores_codex":[0.997806,0.0002438097,0.0006321918,0.0005385001,0.0003444331,0.0004350445],"domain_scores_gemma":[0.9927994,0.0007394198,0.00007565907,0.005826214,0.000208747,0.000350581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000902833,0.000786586,0.0006800832,0.00004006649,0.001825487,0.00001195728,0.0008231683,0.3259366,0.5753883,0.09002622,0.0006072952,0.003783981],"study_design_scores_gemma":[0.0007131282,0.00008405234,0.001808225,0.00009474748,0.002501855,0.00003845936,0.0002893877,0.91187,0.07455556,0.003361777,0.00369514,0.0009876951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1071945,0.004411662,0.8759934,0.0009691698,0.0000689884,0.0005608003,0.000119632,0.001093561,0.009588327],"genre_scores_gemma":[0.8031822,0.00006765206,0.1957774,0.0001875899,0.00001735673,0.0001023472,0.000548895,0.00006303156,0.00005345487],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6959878,"threshold_uncertainty_score":0.999875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198851676617721,"score_gpt":0.2695127720202096,"score_spread":0.2375242552540324,"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."}}