{"id":"W3152285607","doi":"10.36001/phmconf.2013.v5i1.2300","title":"Physics-Based Prognostics for LCF Crack Nucleation Life of IMI 685 Aero-engine Compressor Disc","year":2013,"lang":"en","type":"article","venue":"Annual Conference of the PHM Society","topic":"Mechanical Failure Analysis and Simulation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Life Prediction Technologies (Canada)","funders":"","keywords":"Nucleation; Prognostics; Materials science; Probabilistic logic; Gas compressor; Fracture (geology); Structural engineering; Low-cycle fatigue; Log-normal distribution; Mechanics; Mathematics; Physics; Engineering; Metallurgy; Mechanical engineering; Statistics; Reliability engineering; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003970448,0.0003250207,0.0002140516,0.0006304324,0.0002352078,0.0003953007,0.0003603806,0.0005017818,0.0009802287],"category_scores_gemma":[0.001294915,0.0001602473,0.0002388378,0.0001649854,0.0001698525,0.0003881383,0.0002415218,0.0002516917,0.000151304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008899986,"about_ca_system_score_gemma":0.0004847967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149325,"about_ca_topic_score_gemma":0.008130318,"domain_scores_codex":[0.9999015,0.00002317534,0.000006933843,0.00001941865,0.00003687722,0.00001216227],"domain_scores_gemma":[0.9996595,0.0001432382,0.00005872907,0.00002684644,0.00009735091,0.0000143089],"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":[0.00007878136,0.0000289194,0.01459407,0.00002512623,0.000009503584,0.00005621852,0.00003357557,0.9626195,0.005762816,0.0004492734,0.0002554148,0.01608679],"study_design_scores_gemma":[0.000001596474,0.00002023923,0.002739992,0.000002409898,0.000002485443,0.00000849039,0.000007332232,0.9957027,0.001353112,0.00008930834,0.0000693067,0.000003099414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9317424,0.0001970866,0.06341305,0.0002079086,0.0000153778,0.00005312209,0.000522183,0.0009476889,0.00290125],"genre_scores_gemma":[0.997602,0.00002392258,0.002043415,0.000004080034,0.000001723529,0.000008517229,0.0001071536,0.000005718415,0.0002034469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01149325,"threshold_uncertainty_score":0.02285272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310982396818815,"score_gpt":0.2244158099352171,"score_spread":0.2013059859670289,"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."}}