{"id":"W2027915061","doi":"10.1177/0731684413509427","title":"A 3D micromechanical energy-based creep failure criterion for high-temperature polymer–matrix composites","year":2013,"lang":"en","type":"article","venue":"Journal of Reinforced Plastics and Composites","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Micromechanics; Materials science; Creep; Composite material; Viscoelasticity; Composite number; Matrix (chemical analysis); Polymer","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":[0.0003514033,0.0008141835,0.0005109283,0.0007680067,0.0003561791,0.0004558892,0.0007991917,0.0009605944,0.0008326969],"category_scores_gemma":[0.0006897095,0.0002693245,0.0006033269,0.0002334689,0.0005447081,0.0005429139,0.0004751979,0.0004970505,0.0003203145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005146099,"about_ca_system_score_gemma":0.0008065784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002135319,"about_ca_topic_score_gemma":0.003110765,"domain_scores_codex":[0.9996593,0.00004296332,0.00002152069,0.00004247259,0.0002081625,0.00002556138],"domain_scores_gemma":[0.9995053,0.0001468725,0.00009830516,0.00005142323,0.0001750314,0.00002306233],"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":[0.00004611496,0.00005673313,0.003133944,0.0001481586,0.00001720346,0.0002898534,0.00007672238,0.7852901,0.1783106,0.006726085,0.0004666937,0.02543775],"study_design_scores_gemma":[0.000001778424,0.00003339842,0.001211326,0.000006535001,0.000003316291,0.00007921236,0.00000993043,0.9865692,0.01082134,0.0008043994,0.0004435917,0.00001600165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1475724,0.0003649316,0.8484231,0.00006980028,0.0000308016,0.00005731652,0.0001126416,0.0003081359,0.003060797],"genre_scores_gemma":[0.9117882,0.0002468888,0.08573011,0.00002794312,0.00001790219,0.0001234631,0.0001581249,0.0000560729,0.00185125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002135319,"threshold_uncertainty_score":0.004245818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004457250134702896,"score_gpt":0.1980176915460617,"score_spread":0.1935604414113588,"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."}}