{"id":"W2027102385","doi":"10.1007/s11837-008-0042-y","title":"Extracting quantitative data from partly revealed anisotropic microstructures as applied to zirconium tubes","year":2008,"lang":"en","type":"article","venue":"JOM","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Materials science; Rod; Microstructure; Uranium; Zirconium alloy; Anisotropy; Nuclear engineering; Zirconium; Deformation (meteorology); Creep; Alloy; Metallurgy; Composite material; Engineering; Physics; Optics","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":[0.0002540677,0.0003866387,0.0003288673,0.001149062,0.0001925829,0.0005678185,0.0003510112,0.0004200099,0.0008398131],"category_scores_gemma":[0.001129197,0.0002796926,0.0003039907,0.001212125,0.0003374633,0.0003783909,0.0002194232,0.0002970233,0.000351215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001522377,"about_ca_system_score_gemma":0.0002268564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007990482,"about_ca_topic_score_gemma":0.001429605,"domain_scores_codex":[0.9998727,0.00001649031,0.000009474265,0.00002677685,0.00005194518,0.00002264941],"domain_scores_gemma":[0.9994707,0.000156206,0.00009939706,0.0001137261,0.0001370774,0.00002301122],"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":[0.0002116641,0.00001640342,0.002818997,0.0001399152,0.00002000574,0.0001157957,0.00006700966,0.00292903,0.9610188,0.0003728871,0.0001518973,0.03213764],"study_design_scores_gemma":[0.00002359343,0.0001638659,0.04903762,0.00001782309,0.00009198769,0.0005728172,0.0001769359,0.1170708,0.8288766,0.00123216,0.002684684,0.00005114128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8360283,0.0004932865,0.1592773,0.00007846705,0.00002803502,0.00004823365,0.001233963,0.001315516,0.001496795],"genre_scores_gemma":[0.9119598,0.0003803809,0.08565626,0.00001664855,0.00002606121,0.00003565745,0.001167764,0.0002011504,0.0005562586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001149062,"threshold_uncertainty_score":0.002809405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09496644310052604,"score_gpt":0.3052946974198691,"score_spread":0.210328254319343,"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."}}