{"id":"W2498718307","doi":"10.1007/s10854-016-5442-0","title":"Synthesis of lead titanate nanoparticles via sol–gel technique and its characterization","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Science Materials in Electronics","topic":"Ferroelectric and Piezoelectric Materials","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Characterization (materials science); Lead titanate; Lead (geology); Nanoparticle; Materials science; Sol-gel; Nanotechnology; Chemical engineering; Ferroelectricity; Optoelectronics; Engineering; Geology","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":[0.0001113248,0.0001660695,0.0001589371,0.0002999773,0.0002388503,0.0002283115,0.0001698484,0.0003014938,0.0009991742],"category_scores_gemma":[0.0001641454,0.0001992416,0.0001758478,0.0002115775,0.0001780033,0.0001701924,0.0001207078,0.0002555236,0.0004049168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002312869,"about_ca_system_score_gemma":0.0002354059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007058965,"about_ca_topic_score_gemma":0.001431747,"domain_scores_codex":[0.9999059,0.000008403425,0.000007778483,0.00001946454,0.00004170537,0.00001666306],"domain_scores_gemma":[0.9999213,0.00001791205,0.00001389878,0.000009382873,0.00002648403,0.00001102057],"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":[0.00002206539,0.000007286322,0.00005000235,0.00003185106,0.000002297252,0.00003953551,0.00001940895,0.00006576868,0.9988601,0.0000810394,0.00004002543,0.000780659],"study_design_scores_gemma":[0.000003980746,0.00004696899,0.0003425291,0.000001269484,0.000004910401,0.00004847127,0.00000914871,0.000662027,0.9979143,0.00003390271,0.0009297054,0.000002935134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757264,0.001291775,0.01701969,0.000223126,0.00007903767,0.00007011189,0.000355884,0.0003113202,0.004922614],"genre_scores_gemma":[0.9909314,0.0003129521,0.004771426,0.00004183034,0.000009626769,0.00003314165,0.0002040662,0.00004380743,0.003651852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009991742,"threshold_uncertainty_score":0.003342569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009612617179378285,"score_gpt":0.2374391979124277,"score_spread":0.2278265807330494,"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."}}