{"id":"W4395695758","doi":"10.1111/jmi.13310","title":"Analysis of microscopy techniques to measure segregation in continuous‐cast steel slabs","year":2024,"lang":"en","type":"article","venue":"Journal of Microscopy","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analyser; Materials science; Calibration; Synchrotron; Resolution (logic); Electron microprobe; Image resolution; Microscopy; Optics; Analytical Chemistry (journal); Metallurgy; Chemistry; Computer science; Physics; Mathematics; Artificial intelligence; Statistics","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":[0.0005691198,0.0001626265,0.0005560578,0.0008132716,0.00001490414,0.00007332967,0.0002122795,0.0001131467,0.00007623789],"category_scores_gemma":[0.00003790159,0.0001336109,0.0002365306,0.001327937,0.00002476251,0.0001737651,0.0000220839,0.0003047483,0.000006852001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001184359,"about_ca_system_score_gemma":0.00004502934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001418687,"about_ca_topic_score_gemma":0.00004415202,"domain_scores_codex":[0.9987328,0.00002999662,0.0006989278,0.0001263238,0.0002296397,0.0001823244],"domain_scores_gemma":[0.9994274,0.00006100963,0.0001185697,0.0001389859,0.000170683,0.00008333306],"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":[0.00005683665,0.00002823705,0.0002945259,0.0002327986,0.0005514972,0.00003396477,0.0003831316,0.007826331,0.9855122,0.000156629,0.0002693892,0.004654433],"study_design_scores_gemma":[0.0006756178,0.0004887531,0.002576852,0.002047455,0.001459188,0.00007969366,0.000342087,0.1483449,0.8260375,0.000841037,0.01648031,0.0006266813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917562,0.003307954,0.07785051,0.0000996953,0.0003019838,0.0001258558,0.0000289583,0.00005360847,0.0006694226],"genre_scores_gemma":[0.9907441,0.0003142452,0.008732426,0.00003696429,0.00005534165,0.000002646288,0.000003782253,0.00003148311,0.00007904445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594748,"threshold_uncertainty_score":0.5448496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00880305786600579,"score_gpt":0.2668151207234378,"score_spread":0.258012062857432,"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."}}