{"id":"W4362466454","doi":"","title":"Interface engineering between HfZrO2 thin films and electrodes for enhanced ferroelectricity","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Ferroelectric and Negative Capacitance Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ferroelectricity; Interface (matter); Electrode; Materials science; Thin film; Optoelectronics; Interface design; Computer science; Nanotechnology; Composite material; Human–computer interaction; Dielectric; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002023394,0.0004452744,0.0005364669,0.000267674,0.0001755383,0.0002488213,0.0006827945,0.0003341935,0.00001663652],"category_scores_gemma":[0.001318052,0.0005027024,0.0001588696,0.0004665845,0.00007765658,0.0001404546,0.0003067294,0.0008241879,0.00001361851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001467858,"about_ca_system_score_gemma":0.00007162052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001337357,"about_ca_topic_score_gemma":0.0002995301,"domain_scores_codex":[0.9975932,0.0005037552,0.0004679204,0.0006571447,0.0002337617,0.0005441727],"domain_scores_gemma":[0.9958573,0.00231759,0.0001748211,0.0007854858,0.0007152496,0.0001495288],"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":[0.0001116192,0.0005068257,0.004240738,0.01017092,0.00323006,0.00001188945,0.05397687,0.06044072,0.6836836,0.05182101,0.01878341,0.1130223],"study_design_scores_gemma":[0.0003596338,0.000001371363,0.001713873,0.001207275,0.00007115054,0.000001741151,0.0000795306,0.3040175,0.6883193,0.002330989,0.001278657,0.0006190002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3738311,0.00239125,0.6197634,0.0006896497,0.0001925184,0.0005636591,0.0001035379,0.0009390033,0.001525861],"genre_scores_gemma":[0.96633,0.001300823,0.03017164,0.00001529336,0.00003747603,0.0002308723,0.0002505818,0.0001216821,0.001541663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5924989,"threshold_uncertainty_score":0.9997424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707728418798084,"score_gpt":0.2284938063484517,"score_spread":0.2114165221604709,"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."}}