{"id":"W2012422227","doi":"10.1002/adem.200600051","title":"X‐ray Microtomographic Characterisation of Porosity and its Influence on Fatigue Crack Growth","year":2006,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Porosity; Alloy; Cast iron; Metallurgy; Fatigue limit; Fatigue testing; Paris' law; Composite material; Fracture mechanics; Crack closure","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":[],"consensus_categories":[],"category_scores_codex":[0.0000965555,0.0002418478,0.0002941366,0.0001306124,0.00002806048,0.00003644645,0.0001085053,0.0001011594,0.00001882432],"category_scores_gemma":[0.00004694688,0.0002427725,0.00002666501,0.000123648,0.00001968555,0.0003009216,0.0000270242,0.0000852158,0.000006736689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005231735,"about_ca_system_score_gemma":0.000003959949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000207929,"about_ca_topic_score_gemma":0.000001135905,"domain_scores_codex":[0.9990703,0.0000116391,0.0003541514,0.0001866623,0.000120828,0.0002564391],"domain_scores_gemma":[0.9996223,0.00003478406,0.00007820739,0.000157237,0.00006979668,0.00003763512],"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":[0.00001596116,0.000005614854,0.0003882914,0.0003730311,0.00001588149,0.000001571108,0.00004876624,0.06523958,0.9336697,0.0001729116,0.000007952705,0.00006069653],"study_design_scores_gemma":[0.0002185269,0.00003032845,0.08101609,0.0001251917,0.000009935352,0.000005304092,0.000002224882,0.0002832132,0.9179096,0.0000581378,0.000112296,0.0002291243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983158,0.0003095151,0.0003421446,0.00001049562,0.0003638566,0.0002626245,0.000059582,0.0003096777,0.00002627758],"genre_scores_gemma":[0.9982298,0.000117989,0.001443554,0.00001079919,0.00006424625,0.00003828044,0.00002040314,0.00005471998,0.00002020881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08062779,"threshold_uncertainty_score":0.9899974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00376935450849085,"score_gpt":0.1711802883252271,"score_spread":0.1674109338167362,"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."}}