{"id":"W1982522279","doi":"10.4028/www.scientific.net/msf.539-543.2377","title":"3-D High-Density Strain Mapping Procedure Based on High-Resolution CT","year":2007,"lang":"en","type":"article","venue":"Materials science forum","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Tracking (education); Synchrotron radiation; High resolution; Tomography; Image resolution; Particle (ecology); Strain (injury); Matching (statistics); Resolution (logic); Dispersion (optics); Biomedical engineering; Optics; Artificial intelligence; Physics; Mathematics; Computer science; Anatomy","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":[0.00173727,0.0001952079,0.000219014,0.0002444737,0.0003347625,0.000176182,0.0002918921,0.00005657431,0.000320015],"category_scores_gemma":[0.00007876052,0.0001770955,0.00002914458,0.0003555167,0.0001486097,0.0003844374,0.00005590917,0.0000717182,0.0001540899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382323,"about_ca_system_score_gemma":0.00005137198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001081962,"about_ca_topic_score_gemma":0.00003510817,"domain_scores_codex":[0.9982374,0.00001621137,0.0003201706,0.0002977915,0.0003861072,0.0007423212],"domain_scores_gemma":[0.9994873,0.00002116132,0.00005984998,0.0002653621,0.00004043953,0.0001258934],"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":[0.00002456842,0.00001333526,0.00001383478,0.00006451878,0.000002486713,0.00001410202,0.00003071385,0.004470245,0.9881399,0.006437161,0.00009635287,0.0006928368],"study_design_scores_gemma":[0.0002323026,0.0000535662,0.005470635,0.00007552919,0.0000044773,0.0000106762,0.00006336155,0.002491941,0.9900045,0.0007854414,0.0005659451,0.0002415612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826523,0.000003338552,0.0123265,0.0001103878,0.003702048,0.0002229143,0.00003624148,0.0003611495,0.0005851195],"genre_scores_gemma":[0.9964017,0.000001300736,0.003158548,0.0001505955,0.000182412,0.000008899799,0.00002420038,0.00002230942,0.00005005617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374938,"threshold_uncertainty_score":0.7221743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049981956021142,"score_gpt":0.2132870715732917,"score_spread":0.2027872520130803,"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."}}