{"id":"W3120276145","doi":"10.2514/6.2021-1509","title":"A Review of Fatigue and Damage Tolerance Life Prediction Methodologies toward Certification of Additively Manufactured Metallic Principal Structural Elements","year":2021,"lang":"en","type":"review","venue":"AIAA Scitech 2021 Forum","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Airworthiness; Certification; Aerospace; Reliability (semiconductor); Damage tolerance; Structural integrity; Process (computing); Materials science; Principal (computer security); Fusion; Mechanical engineering; Forensic engineering; Reliability engineering; Structural engineering; Computer science; Engineering; Composite material; Aerospace engineering; Composite number","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001691765,0.001168809,0.001195172,0.004374014,0.0003145504,0.001234093,0.001232682,0.001219759,0.00388712],"category_scores_gemma":[0.002183424,0.0007385426,0.0009461972,0.003831124,0.0003755431,0.001558828,0.0006017639,0.001001839,0.002628401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006121703,"about_ca_system_score_gemma":0.001552726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002031206,"about_ca_topic_score_gemma":0.002817647,"domain_scores_codex":[0.9992367,0.0001102801,0.0000968884,0.0001710387,0.0003509131,0.0000342452],"domain_scores_gemma":[0.9980788,0.0008976893,0.0002309532,0.0000759543,0.0006746859,0.00004181781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003320921,0.00007680488,0.0003036403,0.0231272,0.00009272171,0.00007628505,0.0000702527,0.001931999,0.004209916,0.003745548,0.008350914,0.9579815],"study_design_scores_gemma":[0.000009213708,0.0003843084,0.001906815,0.01051782,0.0003368138,0.0006604126,0.0001211567,0.002466842,0.007396503,0.002445842,0.9736755,0.00007871764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007383143,0.9880205,0.007052536,0.0001969109,0.0001926552,0.00004136115,0.0001052298,0.00004952973,0.003603023],"genre_scores_gemma":[0.005101315,0.9850064,0.007183384,0.0001554944,0.0001517218,0.00004763883,0.0002046201,0.00002061246,0.002128705],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004374014,"threshold_uncertainty_score":0.01300371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107325432088038,"score_gpt":0.3479593797256628,"score_spread":0.2406339476376249,"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."}}