{"id":"W2014170605","doi":"10.1115/pvp2012-78381","title":"Non-Local Damage Model to Predict the Effect of Pre-Strain on Ductile Fracture in Aluminum Alloy 5052","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Void (composites); Fracture (geology); Composite material; Alloy; Finite element method; Tension (geology); Aluminium; Deformation (meteorology); Structural engineering; Metallurgy; Ultimate tensile strength","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002307552,0.000404775,0.0003703052,0.0004561759,0.000168582,0.0002903272,0.00072994,0.001064134,0.001348447],"category_scores_gemma":[0.0005333788,0.0003311425,0.0004413998,0.0001734242,0.0003439744,0.000388739,0.0003050094,0.0004261904,0.0002530538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537534,"about_ca_system_score_gemma":0.0004690811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005332693,"about_ca_topic_score_gemma":0.007423284,"domain_scores_codex":[0.9999079,0.00001314947,0.000005782881,0.0000189303,0.00004056717,0.0000136444],"domain_scores_gemma":[0.9997321,0.0001137295,0.00005280223,0.00003662533,0.00004507958,0.00001969449],"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":[0.00001580954,0.0000257135,0.0007522947,0.00001249681,0.000005480152,0.00003706846,0.0000157325,0.9883708,0.008242103,0.0002472802,0.00003866899,0.002236559],"study_design_scores_gemma":[0.000001438849,0.00002098586,0.0003728839,0.00000104094,0.000001604451,0.00001136421,0.000003209415,0.9984819,0.001003325,0.00005662567,0.0000439696,0.000001592858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6648146,0.0003373493,0.3296962,0.0001103149,0.00002231152,0.00007850637,0.0001767197,0.0006782764,0.004085617],"genre_scores_gemma":[0.9870477,0.00007984585,0.01009578,0.00001235202,0.00000313042,0.00004812417,0.00004865974,0.00004025318,0.002624023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005332693,"threshold_uncertainty_score":0.01060331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006957869540148926,"score_gpt":0.2531435616901327,"score_spread":0.2461856921499838,"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."}}