{"id":"W3155392476","doi":"10.1016/j.eml.2021.101317","title":"Toughness of a composite in which sliding between fibers and matrix is rate-sensitive","year":2021,"lang":"en","type":"article","venue":"Extreme Mechanics Letters","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite material; Toughness; Fracture toughness; Brittleness; Fiber pull-out; Strain energy release rate; Fiber; Composite number; Ceramic matrix composite; Tension (geology); Strain rate; Stress (linguistics); Ultimate tensile strength; Plane stress; Structural engineering; Composite laminates; Finite element method","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":[0.0002289658,0.000150632,0.0001256077,0.0004349015,0.0003253195,0.0002151961,0.0002236369,0.0004155019,0.002535426],"category_scores_gemma":[0.0003732636,0.0001945857,0.00013605,0.0001423675,0.0003632705,0.0002280185,0.0001637931,0.0004490174,0.000161266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048361,"about_ca_system_score_gemma":0.0001656305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127977,"about_ca_topic_score_gemma":0.001464992,"domain_scores_codex":[0.9998822,0.000006765962,0.000003537139,0.00004023525,0.00004378124,0.00002346409],"domain_scores_gemma":[0.9997249,0.00009287203,0.00006245697,0.00001992509,0.00004110162,0.00005874557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002291802,0.00001142039,0.0002855005,0.00001237284,0.000004575505,0.00008005232,0.00003755897,0.0006178989,0.9975975,0.0004488638,0.00005150385,0.0006235418],"study_design_scores_gemma":[0.00002000974,0.0003176211,0.0100714,0.000004431236,0.00001203473,0.000177165,0.00009162652,0.02379252,0.964215,0.0003968655,0.0008730571,0.00002822725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958689,0.00009996387,0.002137236,0.00004298269,0.00002497312,0.000005232964,0.0001004624,0.00005450783,0.001665864],"genre_scores_gemma":[0.9982433,0.00001962655,0.0007983466,0.000009242304,0.000003227002,0.000003292106,0.00006444853,0.00001060287,0.0008480487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002535426,"threshold_uncertainty_score":0.00848186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340647516236292,"score_gpt":0.2522001718860677,"score_spread":0.2287936967237048,"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."}}