{"id":"W2169668326","doi":"10.1177/1045389x05054789","title":"A Homogenized Energy Model for Hysteresis in Ferroelectric Materials: General Density Formulation","year":2005,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Air Force Office of Scientific Research; Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Mesoscopic physics; Helmholtz free energy; Homogenization (climate); Statistical physics; Ferroelectricity; Constitutive equation; Polarization (electrochemistry); Mathematics; Physics; Finite element method; Thermodynamics; Condensed matter 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":[0.0004517124,0.0004074822,0.0004073929,0.0005361948,0.0002738034,0.0006136904,0.0009575348,0.0009872016,0.001436983],"category_scores_gemma":[0.001130056,0.0002973169,0.0004668552,0.0003107423,0.00106246,0.002031157,0.0005550756,0.0005337264,0.0002778569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007184569,"about_ca_system_score_gemma":0.0003981698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001576222,"about_ca_topic_score_gemma":0.001316111,"domain_scores_codex":[0.9998622,0.00003402849,0.000006463488,0.00003043288,0.00005096641,0.00001589898],"domain_scores_gemma":[0.9998007,0.00009097594,0.00003170451,0.0000258179,0.00003686657,0.00001392917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001482738,0.00002307975,0.000246293,0.00004535617,0.00001241646,0.0001077157,0.00007753855,0.5546089,0.008578517,0.4304942,0.0005008839,0.005290197],"study_design_scores_gemma":[0.00000246107,0.000005665826,0.00005284468,0.000002222482,0.000001693081,0.0000249992,0.000007465081,0.9535051,0.0003588717,0.0455945,0.0004397838,0.000004479901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03130931,0.0003522723,0.9627689,0.0003921177,0.00002152848,0.00002616661,0.00008228371,0.00008206427,0.004965408],"genre_scores_gemma":[0.8859272,0.0009415444,0.09655628,0.0001917345,0.00009682185,0.0001649498,0.0001772446,0.0001277537,0.01581644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001576222,"threshold_uncertainty_score":0.005212784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105109192975441,"score_gpt":0.2509259990111642,"score_spread":0.2298749070814098,"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."}}