{"id":"W4283385198","doi":"10.1002/adem.202200606","title":"Martensitic Transformation Temperatures of Ceramics","year":2022,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Ferroelectric and Piezoelectric Materials","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Diffusionless transformation; Materials science; Ceramic; Valence electron; Valence (chemistry); Electron; Microstructure; Martensite; Doping; Thermodynamics; Condensed matter physics; Analytical Chemistry (journal); Metallurgy; Chemistry; Physics","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":[0.0002162655,0.0002138158,0.0001534389,0.0004864483,0.0002729183,0.0004352012,0.0002911896,0.0001923681,0.002466705],"category_scores_gemma":[0.0007945491,0.0002403235,0.0002596202,0.0003167871,0.0004197145,0.000432442,0.0002629882,0.0006241502,0.0004913524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005199701,"about_ca_system_score_gemma":0.0002939751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122631,"about_ca_topic_score_gemma":0.0008932545,"domain_scores_codex":[0.9997148,0.00001685687,0.00001415713,0.00007201567,0.000137688,0.00004452461],"domain_scores_gemma":[0.9996823,0.00009694649,0.00007464423,0.00001772826,0.0001038166,0.00002469436],"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":[0.0001888381,0.00001274221,0.001112329,0.0001169501,0.0000104209,0.00004674075,0.0001297054,0.0007832748,0.9882815,0.001560294,0.0001939694,0.007563198],"study_design_scores_gemma":[0.000008882648,0.0001679281,0.007116906,0.000009664118,0.00000689747,0.0001454257,0.0000821392,0.002405364,0.9850241,0.0006657976,0.004352552,0.00001429316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796481,0.00346596,0.006488577,0.0001336833,0.00006143291,0.00003214646,0.0004365031,0.0001568985,0.009576678],"genre_scores_gemma":[0.995945,0.0007426603,0.00115134,0.00001662639,0.000009688678,0.00001410399,0.0002409172,0.0000280116,0.001851528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002466705,"threshold_uncertainty_score":0.008251965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003825675057960198,"score_gpt":0.1866937763849955,"score_spread":0.1828681013270353,"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."}}