{"id":"W2026105870","doi":"10.1016/j.jmmm.2014.03.031","title":"An X- and Q-band Fe3+ EPR study of nanoparticles of magnetic semiconductor Zn1−Fe O","year":2014,"lang":"en","type":"article","venue":"Journal of Magnetism and Magnetic Materials","topic":"ZnO doping and properties","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Division of Materials Research; Division of Chemical, Bioengineering, Environmental, and Transport Systems; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Electron paramagnetic resonance; Diethylene glycol; Materials science; Ion; Spectral line; Analytical Chemistry (journal); Doping; Nanoparticle; Coordination sphere; Nuclear magnetic resonance; Chemistry; Physics; Nanotechnology","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":[0.00006153489,0.00007930568,0.00007069985,0.00008996182,0.0001747502,0.00008788441,0.0001719395,0.0001734113,0.001237581],"category_scores_gemma":[0.0001129209,0.00006693351,0.00008920801,0.00005496779,0.000190757,0.0001744956,0.00009098103,0.0001714912,0.0001092726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009777086,"about_ca_system_score_gemma":0.00004891764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007705259,"about_ca_topic_score_gemma":0.0006585035,"domain_scores_codex":[0.9999691,0.000003563791,0.000001295613,0.000009406026,0.00000994904,0.000006718274],"domain_scores_gemma":[0.9999422,0.00001767657,0.000009107054,0.000005989344,0.00001747553,0.000007585565],"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":[0.0001327081,0.00001817519,0.0004467909,0.00002180283,0.00000301661,0.00005659918,0.00003620448,0.00005961935,0.9984185,0.0001432172,0.00004374351,0.0006196247],"study_design_scores_gemma":[0.00002215134,0.0002230438,0.0184941,0.000004757977,0.00001386949,0.0002582879,0.000136152,0.002639031,0.9768897,0.0001229921,0.001190119,0.000005846994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977716,0.000182472,0.0007558398,0.00004927771,0.000008264406,0.000003602009,0.00004528809,0.000009492392,0.001174371],"genre_scores_gemma":[0.9985195,0.00004467754,0.0002682706,0.00001302597,0.000002277732,0.000001890815,0.0000625928,0.000002698906,0.001085143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001237581,"threshold_uncertainty_score":0.004140079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404776897284244,"score_gpt":0.2347477146618933,"score_spread":0.2206999456890509,"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."}}