{"id":"W2884233844","doi":"10.5539/jmsr.v7n4p26","title":"Relation between Sub-grain Size and Dislocation Density During Steady-State Dislocation Creep of Polycrystalline Cubic Metals","year":2018,"lang":"en","type":"article","venue":"Journal of Materials Science Research","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Dislocation; Creep; Crystallite; Grain size; Austenite; Alloy; Martensite; Metallurgy; Austenitic stainless steel; Condensed matter physics; Composite material; Microstructure; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008969533,0.0001186573,0.0001939704,0.0005035966,0.0001414412,0.0003548942,0.0002794536,0.0001826071,0.0004151515],"category_scores_gemma":[0.0007090714,0.0002256712,0.0001043806,0.0004272395,0.0002982663,0.0003402133,0.0001970707,0.0002210355,0.0001235705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004134928,"about_ca_system_score_gemma":0.0001577822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146664,"about_ca_topic_score_gemma":0.002067235,"domain_scores_codex":[0.9998348,0.000006120338,0.00001156546,0.00006069105,0.0000596778,0.00002714546],"domain_scores_gemma":[0.9993949,0.0001595183,0.0001218977,0.00007615765,0.000210392,0.00003718289],"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":[0.0002763562,0.00003740645,0.03876183,0.00006892583,0.0000129652,0.0003116005,0.0003486969,0.002239374,0.9443184,0.0003430624,0.00008426941,0.01319707],"study_design_scores_gemma":[0.00001184345,0.000291215,0.3137582,0.00001087976,0.00002087868,0.0007021422,0.0002718797,0.02371894,0.6592806,0.0003844944,0.001508703,0.00004018537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953386,0.0003108788,0.003617205,0.000007465721,0.000003057358,0.000008752185,0.00008407336,0.00004464583,0.000585302],"genre_scores_gemma":[0.9988356,0.00006408086,0.0007103554,0.000002562225,0.00000117996,0.000008092746,0.00009168294,0.000007991227,0.0002783496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00146664,"threshold_uncertainty_score":0.00300014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02510153428286285,"score_gpt":0.3071264277443702,"score_spread":0.2820248934615074,"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."}}