{"id":"W1991207206","doi":"10.1166/jnn.2013.7778","title":"Ferromagnetism in Annealed Ce<SUB>0.95</SUB>Co<SUB>0.05</SUB>O<SUB>2</SUB> and Ce<SUB>0.95</SUB>Ni<SUB>0.05</SUB>O<SUB>2</SUB> Nanoparticles","year":2013,"lang":"en","type":"article","venue":"Journal of Nanoscience and Nanotechnology","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Electron paramagnetic resonance; Materials science; X-ray photoelectron spectroscopy; Analytical Chemistry (journal); Ferromagnetism; Dopant; Annealing (glass); Magnetization; Ion; Impurity; Ferromagnetic resonance; Paramagnetism; Doping; Nuclear magnetic resonance; Crystallography; Condensed matter physics; Chemistry; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009635383,0.0001470102,0.0002065254,0.0001341634,0.0001483792,0.0002500296,0.0001879144,0.0001946835,0.0007333345],"category_scores_gemma":[0.0003377683,0.0001310051,0.00009768894,0.0001392518,0.000198462,0.0002046091,0.0001085298,0.0001991915,0.000144779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003281094,"about_ca_system_score_gemma":0.0001528737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00239038,"about_ca_topic_score_gemma":0.003990802,"domain_scores_codex":[0.9999222,0.000005834504,0.000005176933,0.00002593166,0.00002394799,0.00001704525],"domain_scores_gemma":[0.9998541,0.00002907305,0.00002792949,0.00001118698,0.00006071949,0.00001708947],"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":[0.00009424472,0.000007944216,0.0004406832,0.00002509915,0.000004840971,0.00004401464,0.00003852646,0.00007912019,0.9987405,0.00003880035,0.00001567652,0.0004704343],"study_design_scores_gemma":[0.000007882576,0.00009409575,0.005748361,0.000002561444,0.00001125238,0.00006054526,0.00004761524,0.0007439234,0.9927374,0.00001332156,0.0005291468,0.000003839178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987383,0.0002086597,0.0004356642,0.00001160635,0.000005947195,0.000002415169,0.00004506726,0.000009366868,0.0005428909],"genre_scores_gemma":[0.9977234,0.000108877,0.0008623293,0.00001484367,0.000002610065,0.000004690354,0.0001373154,0.00001898006,0.001126962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00239038,"threshold_uncertainty_score":0.004752934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127106074025258,"score_gpt":0.2384317277975725,"score_spread":0.22716066705732,"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."}}