{"id":"W3082548545","doi":"10.1002/9781119737322.ch2","title":"Improvement of the Performance of Structural Adhesive Joints with Nanoparticles and Numerical Prediction of Their Response","year":2020,"lang":"en","type":"other","venue":"","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Adhesive; Nanoparticle; Finite element method; Materials science; Computer science; Composite material; Nanotechnology; Mechanical engineering; Structural engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003616251,0.0001105258,0.0002231871,0.00002785078,0.000006087633,0.000001880939,0.00009789343,0.00005491976,0.0001604441],"category_scores_gemma":[0.000005589642,0.00006060463,0.00002974229,0.0000692267,0.00005282895,0.00001625648,0.00004186464,0.00007350499,3.56192e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008684035,"about_ca_system_score_gemma":0.00001084313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009803762,"about_ca_topic_score_gemma":0.00000142496,"domain_scores_codex":[0.9994981,0.00001890825,0.0001880873,0.0000844775,0.0001436543,0.00006671628],"domain_scores_gemma":[0.9996634,0.00003103082,0.0000947616,0.0001663446,0.0000164718,0.00002797013],"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":[0.0001717248,0.000006157482,0.00136088,0.0002082128,0.00004967434,1.343581e-7,0.00007727816,0.00007345482,0.996995,0.00001921972,0.0003120878,0.000726147],"study_design_scores_gemma":[0.0002050618,0.0005252758,0.01368207,0.0001728141,0.00003871954,0.000001506804,0.00002506272,0.005624019,0.979546,0.000002969667,0.0001178319,0.00005873615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988182,0.0001066766,0.00005971307,0.00001548614,0.00004765762,0.0002224787,0.0000611518,0.00004254591,0.0006261154],"genre_scores_gemma":[0.9985912,0.00001237523,0.000635427,0.000003827074,0.000009523294,0.000005303238,0.000001235852,0.00005549758,0.0006856497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0174491,"threshold_uncertainty_score":0.2471385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007491440785336049,"score_gpt":0.1877652575691943,"score_spread":0.1802738167838583,"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."}}