{"id":"W2885113523","doi":"10.1520/stp160420170103","title":"Automated Fatigue Testing Device for Assessing Performance of Sealant Jointing Products","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Structural Analysis of Composite Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Sealant; Reliability engineering; Forensic engineering; Computer science; Materials science; Engineering; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002307337,0.0003932845,0.0006927912,0.0001944213,0.00008687793,0.0001097129,0.0002363203,0.0001826394,0.0001658178],"category_scores_gemma":[0.00009919982,0.0003415874,0.00009367336,0.00007590392,0.00004614566,0.0002074289,0.00007032041,0.00009960787,0.00001613404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006657177,"about_ca_system_score_gemma":0.00003690872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007053223,"about_ca_topic_score_gemma":0.000001927257,"domain_scores_codex":[0.9984428,0.000006377475,0.0007316627,0.000305818,0.0002251473,0.00028817],"domain_scores_gemma":[0.998607,0.0001410916,0.0003320413,0.0003308716,0.0005445897,0.00004437251],"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":[0.0000249432,0.000007609693,0.0002490878,0.01170039,0.001024252,0.000005130268,0.0002595024,0.01831817,0.9517599,0.0008180679,0.004314161,0.01151884],"study_design_scores_gemma":[0.0002313804,0.00008207173,0.0005735786,0.002340599,0.0003625741,0.00002940601,0.000008207826,0.6197998,0.3709602,0.0002229544,0.00448921,0.0008999639],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8052827,0.0002207,0.0004446793,0.00003632568,0.0008650997,0.0007969489,0.0000399964,0.002702809,0.1896107],"genre_scores_gemma":[0.8631361,0.00001570836,0.1142732,0.00002869434,0.00106363,0.0000192453,0.0001663083,0.0002571127,0.02103996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6014817,"threshold_uncertainty_score":0.9999036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05391525627118007,"score_gpt":0.2672301998347014,"score_spread":0.2133149435635213,"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."}}