{"id":"W2770868880","doi":"10.1088/1361-6463/aa9d79","title":"A comparison of the magnetism of cobalt-, manganese-, and nickel-ferrite nanoparticles","year":2017,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Magnetic Properties and Synthesis of Ferrites","field":"Materials Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Magnetism; Manganese; Cobalt; Nickel; Nanoparticle; Cobalt ferrite; Materials science; Ferrite (magnet); Metallurgy; Nanotechnology; Condensed matter physics; Physics; Composite material","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":[0.0001080334,0.0001068486,0.0001001419,0.0001743482,0.0001753403,0.0001658269,0.0001440486,0.000142594,0.0008507497],"category_scores_gemma":[0.0002012579,0.0001039866,0.0001009785,0.00009046292,0.0001755262,0.0001393031,0.00008777301,0.0001217362,0.0001240886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004019664,"about_ca_system_score_gemma":0.0001003478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156566,"about_ca_topic_score_gemma":0.002858601,"domain_scores_codex":[0.9999295,0.000006240851,0.000004441332,0.00001514715,0.00002771021,0.00001697512],"domain_scores_gemma":[0.9999086,0.00001930758,0.00001477946,0.000006284132,0.00003790728,0.00001311093],"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":[0.00006955545,0.000004772889,0.000434924,0.00002210892,0.000003766133,0.00002262105,0.00002667298,0.00009139073,0.9987906,0.00004973759,0.0000240775,0.0004598334],"study_design_scores_gemma":[0.00000756351,0.00006237819,0.009780535,0.000003979347,0.000009194469,0.00007859224,0.00003868876,0.00117421,0.9879164,0.0000380763,0.0008861021,0.000004376117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976792,0.000199529,0.0005650818,0.00002439316,0.00000575775,0.00000329346,0.00008772035,0.00002432505,0.001410796],"genre_scores_gemma":[0.998365,0.00005302139,0.0004073245,0.000007605672,0.000001467038,0.000004225296,0.0001672852,0.000008575747,0.0009855786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002156566,"threshold_uncertainty_score":0.004288018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587286017531806,"score_gpt":0.2798140786062253,"score_spread":0.2439412184309072,"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."}}