{"id":"W2273731610","doi":"10.2495/mc070181","title":"3D strain mapping inside materials by microstructural tracking in tomographic volumes","year":2007,"lang":"en","type":"article","venue":"WIT transactions on engineering sciences","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Japan Society for the Promotion of Science; Light Metal Educational Foundation; Tatematsu Foundation","keywords":"Tracking (education); Materials science; Deformation (meteorology); Displacement (psychology); Synchrotron radiation; Fracture (geology); Digital image correlation; Synchrotron; Tomography; Scale (ratio); Composite material; Optics; Physics","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":[0.0002461326,0.0002472322,0.0002205025,0.0007539604,0.000141603,0.0006801442,0.0003316035,0.0003297932,0.0007450336],"category_scores_gemma":[0.0007331888,0.000285959,0.0001891389,0.0007120778,0.0003720378,0.000544337,0.0003940809,0.0003730962,0.0002441364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611993,"about_ca_system_score_gemma":0.0002580674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008054007,"about_ca_topic_score_gemma":0.001176981,"domain_scores_codex":[0.9998373,0.00002049019,0.000009312714,0.00004029472,0.00007825899,0.00001436033],"domain_scores_gemma":[0.9996183,0.0001800777,0.0000702354,0.00007749507,0.00004140243,0.00001255157],"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":[0.0001456896,0.00003474826,0.002980467,0.0001449763,0.0000207656,0.0001174677,0.0002966764,0.04237486,0.8324069,0.004074639,0.0002715189,0.1171313],"study_design_scores_gemma":[0.00001235187,0.00008000209,0.016012,0.00001933119,0.00002234778,0.0005341332,0.0000933845,0.3562719,0.6201648,0.002789976,0.003949434,0.00005036002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3010664,0.0002493093,0.6954188,0.00005524747,0.00001483286,0.00004658315,0.0002837994,0.001188257,0.001676878],"genre_scores_gemma":[0.6743181,0.0003014088,0.3238539,0.0000143675,0.000008828163,0.00006639896,0.0003241298,0.0002224043,0.000890422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008054007,"threshold_uncertainty_score":0.002492368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090652876808905,"score_gpt":0.221746394610269,"score_spread":0.2108398658421799,"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."}}