{"id":"W2807558439","doi":"10.1107/s1600577518005970","title":"A compact and flexible induction furnace for <i>in situ</i> X-ray microradiograhy and computed microtomography at Elettra: design, characterization and first tests","year":2018,"lang":"en","type":"article","venue":"Journal of Synchrotron Radiation","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Missouri","keywords":"Synchrotron; Induction furnace; Materials science; Induction heating; Characterization (materials science); Microstructure; Dwell time; Temperature control; Thermal; Optics; Composite material; Physics; Nanotechnology; Thermodynamics","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":[0.0003078129,0.0001565628,0.0002548948,0.0003261227,0.0001626978,0.00007796974,0.00005730159,0.00005050969,0.000003674577],"category_scores_gemma":[0.00001068941,0.0001534037,0.00004368342,0.0002104139,0.0001152282,0.0005592389,0.00001457665,0.000130876,3.042945e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007026912,"about_ca_system_score_gemma":0.00002447575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000013737,"about_ca_topic_score_gemma":0.000003411199,"domain_scores_codex":[0.9991352,0.00005476427,0.000359432,0.0001810685,0.00009370833,0.0001758424],"domain_scores_gemma":[0.9990926,0.00008647636,0.0005080275,0.00008006011,0.0001519525,0.00008082803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002085406,0.0001039483,0.1350041,0.00004977173,0.00006386614,0.000001023235,0.0007731446,0.00005254877,0.8285256,0.00009133503,0.0006348174,0.03449135],"study_design_scores_gemma":[0.004279986,0.001259127,0.7369009,0.0004232408,0.0001255456,0.00009936168,0.0001484464,0.003681838,0.2405097,0.00150865,0.01056598,0.0004972205],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7129107,0.0003526452,0.285769,0.0003937987,0.00006068192,0.0004780863,0.00001179283,0.00001726847,0.000006014769],"genre_scores_gemma":[0.9755432,0.0001215958,0.02384693,0.00004297294,0.0003834588,0.00001223636,0.00002250411,0.00001952161,0.000007589474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6018968,"threshold_uncertainty_score":0.6255621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113948182213794,"score_gpt":0.2600352071036065,"score_spread":0.2488957252814686,"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."}}