{"id":"W2901979523","doi":"10.1016/j.dib.2018.11.057","title":"Experimental data in support of characterization of the CePO4 dispersion into transparent PMMA/PU IPNs by the sequential route","year":2018,"lang":"en","type":"article","venue":"Data in Brief","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Comisión de Operación y Fomento de Actividades Académicas, Instituto Politécnico Nacional; Instituto Politécnico Nacional; Consejo Nacional de Ciencia y Tecnología; Swine Innovation Porc","keywords":"Materials science; Characterization (materials science); Dispersion (optics); Scanning electron microscope; Transmission electron microscopy; Laser; X-ray photoelectron spectroscopy; Confocal laser scanning microscopy; Optics; Nanotechnology; Composite material; Biomedical engineering; Chemical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003903327,0.0007671988,0.000317775,0.0004118076,0.0006429612,0.0001381023,0.0004353485,0.0003659565,0.01530411],"category_scores_gemma":[0.000910188,0.0001936448,0.000272867,0.0005992948,0.000221413,0.0004355006,0.0001684051,0.0006890394,0.001373905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002700553,"about_ca_system_score_gemma":0.0003682921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000992173,"about_ca_topic_score_gemma":0.002267889,"domain_scores_codex":[0.9996099,0.00002531457,0.00003708926,0.00009049826,0.0001890868,0.00004815355],"domain_scores_gemma":[0.9992849,0.0002726256,0.00009540808,0.0001234173,0.0001915508,0.00003203546],"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":[0.0001153952,0.00002868512,0.0001520408,0.0001853584,0.000008726203,0.00006629755,0.00003053498,0.0001410951,0.9966937,0.0001869533,0.0002969975,0.00209432],"study_design_scores_gemma":[0.000006737047,0.00009712006,0.001083872,0.00000648891,0.00001358982,0.00008554639,0.00001762182,0.0003068189,0.9939336,0.00005591953,0.00438681,0.000005843186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9194512,0.002266814,0.04031438,0.0003450942,0.000276553,0.0004384709,0.01287951,0.0005385413,0.02348945],"genre_scores_gemma":[0.9407582,0.003185477,0.03739592,0.000116189,0.00007005797,0.000624469,0.008459897,0.0001592071,0.009230563],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01530411,"threshold_uncertainty_score":0.05119735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05133707121375073,"score_gpt":0.3238909207581416,"score_spread":0.2725538495443909,"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."}}