{"id":"W2789826359","doi":"10.1007/s00723-017-0973-y","title":"A Variable Temperature X- and W-Band EPR Study of Fe-Doped SiCN Ceramics Annealed at 1000, 1100, and 1285 °C: Dangling Bonds, Ferromagnetism and Superparamagnetism","year":2018,"lang":"en","type":"article","venue":"Applied Magnetic Resonance","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education and Science of the Russian Federation","keywords":"Electron paramagnetic resonance; Dangling bond; Materials science; Superparamagnetism; Band gap; Condensed matter physics; Analytical Chemistry (journal); Nuclear magnetic resonance; Chemistry; Magnetization; Magnetic field; Silicon; Metallurgy; Optoelectronics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006019121,0.0005431105,0.0008647629,0.0001172128,0.0004809306,0.0002232506,0.000347768,0.0002526319,0.0005263261],"category_scores_gemma":[0.00009919077,0.000515098,0.0000207153,0.0002850783,0.0009310007,0.000230074,0.0004982444,0.0001858692,0.00001913188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004836321,"about_ca_system_score_gemma":0.00005300182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003110518,"about_ca_topic_score_gemma":0.0001844364,"domain_scores_codex":[0.9966805,0.0001635802,0.00073237,0.001265811,0.000446058,0.000711689],"domain_scores_gemma":[0.9982301,0.0003341122,0.0002574396,0.0008026741,0.0001402154,0.0002354835],"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":[0.0004717183,0.0001627146,0.0006559574,0.000158029,0.000008372209,0.00001965432,0.002455876,0.00001090945,0.9872131,0.001979345,0.0002056239,0.006658686],"study_design_scores_gemma":[0.01657598,0.009053525,0.09583557,0.0005784077,0.0005204356,0.0005384884,0.004283424,0.001713159,0.8350791,0.009755159,0.0226707,0.003396007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871404,0.008268424,0.00003317189,0.00008386126,0.0002009801,0.001354462,0.00009675384,0.0001064034,0.002715609],"genre_scores_gemma":[0.9856498,0.0007022051,0.01165168,0.0001528107,0.0001663601,0.0001634091,0.00000847827,0.00007938214,0.001425919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.152134,"threshold_uncertainty_score":0.9997301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006578251050894566,"score_gpt":0.2131815990234418,"score_spread":0.2066033479725473,"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."}}