{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001388069,0.0001291943,0.000218218,0.00004103148,0.00008267935,0.0000713988,0.004191889,0.00005138421,0.000501171],"category_scores_gemma":[0.0001747373,0.00008564391,0.00001582263,0.0003336933,0.0008420783,0.001152624,0.002153527,0.00006669875,0.00001632138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006421465,"about_ca_system_score_gemma":0.0001451552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00194728,"about_ca_topic_score_gemma":0.0004522793,"domain_scores_codex":[0.9979964,0.0001144204,0.0005765539,0.0005557212,0.0005230528,0.0002338292],"domain_scores_gemma":[0.9971777,0.00003954488,0.0002874923,0.002423453,0.00003976697,0.00003201878],"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":[0.00005425755,0.0001217727,0.0008920843,0.00003964954,0.000001593508,9.455036e-7,0.00130057,0.000002107353,0.996578,0.00005278245,0.0008191492,0.0001370856],"study_design_scores_gemma":[0.0003159894,0.00004573185,0.005040367,0.00006007295,0.000009524269,0.000006870373,0.000146833,0.0007756989,0.989109,0.00002780495,0.004357337,0.0001047057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99078,0.00002971102,0.0009297453,0.0004370527,0.0009116615,0.0003019841,0.006542277,0.00001034411,0.00005725542],"genre_scores_gemma":[0.9970242,0.00001554563,0.000220005,0.0001516888,0.00007378453,0.000009276137,0.002475023,0.00001025752,0.00002018382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007468939,"threshold_uncertainty_score":0.7789642,"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."}}