{"id":"W2064214744","doi":"10.1115/ipc2010-31385","title":"Toughness Considerations for Strain-Based Design","year":2010,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Toughness; Similitude; Scale (ratio); Pipeline (software); Pipeline transport; Ranging; Computer science; Structural engineering; Mechanical engineering; Materials science; Forensic engineering; Engineering; Composite material; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009505968,0.00006965544,0.00008885813,0.00003564545,0.00007617548,0.00003937043,0.00004556044,0.00008910334,0.001350811],"category_scores_gemma":[0.0001758504,0.00005512012,0.00007442783,0.00005900694,0.00003988506,0.00004335013,0.000002048172,0.0001415701,0.00001212385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000825402,"about_ca_system_score_gemma":0.00002075121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001663817,"about_ca_topic_score_gemma":0.0002680855,"domain_scores_codex":[0.999647,0.000007350514,0.0001102337,0.00008232953,0.00004564522,0.0001074663],"domain_scores_gemma":[0.9993587,0.0003995719,0.00000628037,0.0001325755,0.00006305674,0.00003987458],"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":[0.00001023643,0.0000302596,0.00006772498,0.00009888477,0.0001361678,0.000001933787,0.0001716121,0.676046,0.2282007,0.07810327,0.01300771,0.004125529],"study_design_scores_gemma":[0.0002170648,0.0000171421,0.0002249505,0.000002551456,0.00003772549,0.000002691915,0.00005250847,0.8365503,0.1313104,0.0295049,0.001920809,0.0001588959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06524835,0.00001234304,0.9289347,0.001117062,0.0006936723,0.0003331589,0.00005188645,0.0004428617,0.003165967],"genre_scores_gemma":[0.8711423,4.864319e-7,0.1285052,0.0001322518,0.0000598794,0.00002746544,0.00000690217,0.000007300474,0.0001181491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.805894,"threshold_uncertainty_score":0.9995621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211828299307797,"score_gpt":0.252181534087298,"score_spread":0.2200632510942201,"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."}}