{"id":"W2010981520","doi":"10.1088/1757-899x/74/1/012015","title":"Numerical prediction of the low-velocity impact damage and compression after impact strength of composite laminates","year":2015,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Scholarship Council; Queen's University; Queen's University Belfast; Royal Academy of Engineering","keywords":"Residual strength; Delamination (geology); Izod impact strength test; Composite laminates; Materials science; Subroutine; Composite number; Finite element method; Compression (physics); Structural engineering; Composite material; Computer science; Ultimate tensile strength; Geology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003067303,0.0001765616,0.0002911036,0.00008059831,0.00004456942,0.00009899759,0.0002238303,0.00005744937,0.00002558308],"category_scores_gemma":[0.000065377,0.0001196494,0.00002766072,0.0002360532,0.0002592959,0.0005283975,0.0001460306,0.00008423035,4.840785e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004643134,"about_ca_system_score_gemma":0.0000543005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004578461,"about_ca_topic_score_gemma":7.561604e-7,"domain_scores_codex":[0.999,0.00002058182,0.0002767747,0.0001599083,0.0003101917,0.0002325531],"domain_scores_gemma":[0.9993874,0.00002963309,0.0000585321,0.0002090463,0.0001618588,0.000153475],"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":[0.00003246977,0.0000104533,0.001427171,0.0001039277,0.000007154586,7.798266e-7,0.0002819522,0.004224016,0.9936009,0.00006104526,0.000004886755,0.0002452434],"study_design_scores_gemma":[0.0001345958,0.0001048717,0.2116973,0.0001739697,0.00001178247,0.0000105866,0.00003298892,0.02870885,0.7589967,0.00002671575,0.00000383518,0.00009775083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990009,0.00007565573,0.0003570066,0.00001220187,0.0002549501,0.0001214624,0.00009263086,0.00006330392,0.00002191095],"genre_scores_gemma":[0.9993361,0.00002796656,0.0005918571,0.000001787374,0.00001804844,0.000007370585,0.000003231447,0.00001179432,0.000001851442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2346042,"threshold_uncertainty_score":0.4879163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329417483409812,"score_gpt":0.2320944401038087,"score_spread":0.2188002652697106,"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."}}