{"id":"W2386854376","doi":"","title":"Progress of Preparing Ferroelectric Ceramic Films by EPD Technique","year":2005,"lang":"en","type":"article","venue":"Cailiao daobao","topic":"Electrophoretic Deposition in Materials Science","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Electrophoretic deposition; Materials science; Ceramic; Dispersant; Ferroelectricity; Deposition (geology); Ferroelectric ceramics; Composite material; Nanotechnology; Dielectric; Optoelectronics; Optics; Dispersion (optics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001852217,0.0001507862,0.0001882226,0.00009385908,0.00004461405,0.00004010015,0.0003085826,0.00009049209,0.0001297977],"category_scores_gemma":[0.0000195007,0.0001562872,0.00004037112,0.0003579844,0.00009920981,0.000162691,0.00003258627,0.0001235318,0.0000448433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081903,"about_ca_system_score_gemma":0.00002117683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006842059,"about_ca_topic_score_gemma":0.000002135704,"domain_scores_codex":[0.9989043,0.00002264934,0.0003014949,0.0002118131,0.0002037979,0.0003559697],"domain_scores_gemma":[0.9995048,0.0000206908,0.00005227348,0.0003078557,0.00004700446,0.00006736217],"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":[0.000005422223,0.00002459698,0.0001542095,0.00007623592,0.000008847348,0.000001437931,0.00004951913,0.002078818,0.9789346,0.0001560648,0.01622096,0.002289244],"study_design_scores_gemma":[0.0001073044,0.0000612146,0.0001324265,0.00004456939,0.000008560652,0.00003781872,0.00000447381,0.0190172,0.9778001,0.0001243467,0.002481359,0.0001805976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97228,0.002350768,0.014012,0.00005073239,0.0002492379,0.0005821648,0.0000207283,0.0006791858,0.009775225],"genre_scores_gemma":[0.9909942,0.0001133823,0.008459469,0.00001952225,0.00003895213,0.0001389185,0.000009427293,0.00003097756,0.0001952013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0187142,"threshold_uncertainty_score":0.6373208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002884712572312383,"score_gpt":0.2044080556149591,"score_spread":0.2015233430426468,"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."}}