{"id":"W2045382517","doi":"10.1023/b:jmsc.0000035323.96458.68","title":"The effect of prestrain on the natural aging and fracture behaviour of AA6111 aluminum","year":2004,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; University of Manitoba","keywords":"Materials science; Fractography; Ultimate tensile strength; Nucleation; Fracture (geology); Differential scanning calorimetry; Composite material; Intermetallic; Scanning electron microscope; Aluminium; Volume fraction; Tensile testing; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001456612,0.0001050354,0.0001955557,0.00005418246,0.0001136072,0.00008886537,0.0004448848,0.00002993688,0.000007173051],"category_scores_gemma":[0.0002067886,0.00004550695,0.00003535092,0.0000987426,0.0005556747,0.0001901168,0.000046658,0.0001553301,4.651563e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003861422,"about_ca_system_score_gemma":0.00004604294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000135512,"about_ca_topic_score_gemma":0.000001901933,"domain_scores_codex":[0.9990591,0.00004906502,0.0003204185,0.00006755632,0.0003412569,0.0001626252],"domain_scores_gemma":[0.9993939,0.0001343053,0.0002190858,0.0001454184,0.00007519619,0.00003206556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003497431,0.000002120618,0.0001818781,0.00003146683,0.000009190941,0.00000296547,0.0005200823,0.00247061,0.9964515,0.00004483239,0.00002571519,0.0002246764],"study_design_scores_gemma":[0.0001969106,0.000200889,0.01420494,0.0001431807,0.0000161415,0.0001042108,0.00008869448,0.00001739341,0.9848335,0.0001134514,0.00003159295,0.00004906865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982864,0.000613568,0.00001705333,0.0002585019,0.0006937847,0.0001003433,0.00000375686,0.000006051399,0.00002057797],"genre_scores_gemma":[0.9996889,0.000035967,0.0001753191,0.00001764977,0.0000681646,8.857185e-7,6.64192e-8,0.000008464922,0.000004564758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01402306,"threshold_uncertainty_score":0.2047407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004238894018476305,"score_gpt":0.2098267475045528,"score_spread":0.2055878534860765,"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."}}