{"id":"W3047635476","doi":"10.22215/etd/2009-06316","title":"Ferroelectric thin film nanocomposite and bilayer characterization through simulation using the phase field method","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Ferroelectric and Piezoelectric Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Ferroelectricity; Characterization (materials science); Nanocomposite; Bilayer; Field (mathematics); Materials science; Thin film; Nanotechnology; Optoelectronics; Chemistry; Mathematics","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":[0.0001393157,0.0002250716,0.0003088229,0.0001962099,0.0003057617,0.0003329329,0.0004108707,0.0005092492,0.005474088],"category_scores_gemma":[0.0002594225,0.0002151623,0.0002631733,0.0002274719,0.0001509129,0.0004323174,0.0001534263,0.0003521919,0.0003409022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002911279,"about_ca_system_score_gemma":0.0004715963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003550089,"about_ca_topic_score_gemma":0.003894439,"domain_scores_codex":[0.9999697,0.00000525352,0.000001080993,0.000004703417,0.0000125453,0.000006778898],"domain_scores_gemma":[0.9999118,0.00004392796,0.000007037695,0.000009372589,0.00002157181,0.00000627866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001450358,0.0002157695,0.001050464,0.0001591762,0.00003893288,0.0001643303,0.0001339602,0.8977903,0.07385519,0.01000304,0.001894547,0.01454928],"study_design_scores_gemma":[0.00001575258,0.0000142433,0.0001105646,0.00000234726,0.000002155714,0.000007478553,0.000008101604,0.9954911,0.003331762,0.0004515029,0.0005620124,0.000002980681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7915642,0.0003088751,0.1667173,0.0006545699,0.0001132966,0.0001803622,0.001527644,0.001173297,0.03776032],"genre_scores_gemma":[0.9283156,0.0002041935,0.06301608,0.00005553802,0.00001387658,0.0001661283,0.0005871506,0.0002014219,0.007440032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005474088,"threshold_uncertainty_score":0.01831263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02739393740879102,"score_gpt":0.3525060748156703,"score_spread":0.3251121374068792,"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."}}