{"id":"W4411017799","doi":"10.1557/s43577-025-00919-6","title":"Revealing new depths of information with indentation mapping of microstructures","year":2025,"lang":"en","type":"review","venue":"MRS Bulletin","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"HORIZON EUROPE Digital, Industry and Space; Natural Sciences and Engineering Research Council of Canada; Sapienza Università di Roma; European Commission; Università degli Studi Roma Tre","keywords":"Nanoindentation; Materials science; Electron backscatter diffraction; Indentation; Microstructure; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005746607,0.0007249622,0.0004663052,0.001508346,0.0003555147,0.0009934717,0.000861329,0.001047912,0.02392214],"category_scores_gemma":[0.0008556911,0.0005498876,0.0003968522,0.001247212,0.0006037954,0.001963634,0.0009436969,0.002044314,0.003626014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515316,"about_ca_system_score_gemma":0.000365056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005154578,"about_ca_topic_score_gemma":0.001588998,"domain_scores_codex":[0.9995773,0.00002844104,0.00001914587,0.0001084887,0.0002089051,0.00005766326],"domain_scores_gemma":[0.9994253,0.000186639,0.0001103304,0.000117976,0.0001251035,0.00003474937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003058969,0.0001417485,0.002304081,0.001868311,0.00009876795,0.0005770836,0.0002054437,0.01008684,0.8548071,0.01447278,0.02143493,0.09369707],"study_design_scores_gemma":[0.0001159592,0.0003526256,0.00908088,0.0001962257,0.00009725593,0.0006453214,0.0004370117,0.1526195,0.7576396,0.01901004,0.05964407,0.0001615875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3509535,0.01209789,0.5336207,0.006509742,0.001494255,0.0005917701,0.02369686,0.01725129,0.05378392],"genre_scores_gemma":[0.7881047,0.00401821,0.1924865,0.0009968639,0.0002503939,0.0003326627,0.004154053,0.0007370928,0.008919466],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02392214,"threshold_uncertainty_score":0.08002752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219417661696786,"score_gpt":0.2274482300064744,"score_spread":0.2152540533895065,"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."}}