{"id":"W4307349015","doi":"10.1007/s10704-022-00674-8","title":"X-ray microtomography investigation of damage fields ahead of cracks in CT and SENT C-Mn steel samples","year":2022,"lang":"en","type":"article","venue":"International Journal of Fracture","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bombardier (Canada)","funders":"H2020 Euratom","keywords":"Materials science; Fractography; Void (composites); Composite material; X-ray microtomography; Ultimate tensile strength; Nucleation; Toughness","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":[0.0001200386,0.0002039354,0.0001358471,0.0007064332,0.0004101164,0.0002500997,0.0002493193,0.0006211832,0.005461152],"category_scores_gemma":[0.0003440644,0.000334959,0.0001289154,0.0003506455,0.0004852529,0.0002407477,0.000132577,0.0003439129,0.0003540515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048715,"about_ca_system_score_gemma":0.0002316135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003511807,"about_ca_topic_score_gemma":0.006427244,"domain_scores_codex":[0.9998947,0.000004532738,0.00000889694,0.00002599857,0.00004837623,0.00001738896],"domain_scores_gemma":[0.9995866,0.00009568569,0.00007797032,0.00004693858,0.0001587688,0.000034085],"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":[0.0003210928,0.00003746093,0.005614961,0.00008572562,0.000009100402,0.0004741036,0.0002956841,0.0005537056,0.9894636,0.0002089841,0.0002029248,0.002732788],"study_design_scores_gemma":[0.00002501011,0.0003492013,0.3886988,0.00003102267,0.00004765379,0.001717115,0.0008444984,0.003798044,0.6021019,0.0001053498,0.002258222,0.00002328768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938192,0.0002245755,0.002476994,0.00006368417,0.00001672533,0.00002486164,0.0004133958,0.0001052842,0.002855342],"genre_scores_gemma":[0.9957675,0.0000607694,0.001756915,0.00001842146,0.00000407912,0.000008529405,0.000166549,0.0000142064,0.002203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005461152,"threshold_uncertainty_score":0.01826936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009467711424342034,"score_gpt":0.219617303023326,"score_spread":0.210149591598984,"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."}}