{"id":"W2560030778","doi":"10.1017/s1431927615006637","title":"Metallographic Preparation of Incoloy 800 Tube Material for EBSD","year":2015,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Incoloy; Electron backscatter diffraction; Materials science; Tube (container); Metallurgy; Composite material; Microstructure; Alloy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001528091,0.001091558,0.0008600623,0.003529573,0.001882725,0.0009669386,0.001290762,0.001124546,0.04719076],"category_scores_gemma":[0.002804627,0.001488212,0.0004304654,0.001724784,0.0006900434,0.0007821684,0.0007017691,0.001885058,0.01969933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007187778,"about_ca_system_score_gemma":0.001790481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001849346,"about_ca_topic_score_gemma":0.009089769,"domain_scores_codex":[0.9988118,0.00008325589,0.000117291,0.0002297268,0.0006260142,0.0001318587],"domain_scores_gemma":[0.9975508,0.0003063403,0.0001214387,0.000461226,0.001460192,0.0001000227],"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":[0.0001349381,0.00006175149,0.0006127944,0.0004537909,0.00001862858,0.0003076904,0.000254558,0.0002516969,0.9589888,0.002929605,0.01687443,0.01911144],"study_design_scores_gemma":[0.00006615296,0.0002963956,0.00516083,0.0002049621,0.0000631969,0.000733256,0.00031579,0.002865262,0.8003648,0.0009169661,0.1889438,0.0000686995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3126907,0.006268224,0.4473702,0.002358715,0.003002064,0.008828105,0.01957738,0.01666307,0.1832415],"genre_scores_gemma":[0.2276168,0.006651312,0.6017597,0.0009650951,0.0004118403,0.008656376,0.02285611,0.006752325,0.1243305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04719076,"threshold_uncertainty_score":0.1578688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396886113603172,"score_gpt":0.2861302943952234,"score_spread":0.2721614332591917,"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."}}