{"id":"W2042314485","doi":"10.1016/j.jcis.2004.04.016","title":"Microwave synthesis and characterization of Co–ferrite nanoparticles","year":2004,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Magnetic Properties and Synthesis of Ferrites","field":"Materials Science","cited_by":186,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Université de Montréal; National Research Council Canada","funders":"","keywords":"Nanocrystalline material; Materials science; Magnetization; Nanoparticle; Ferrite (magnet); Transmission electron microscopy; X-ray photoelectron spectroscopy; Analytical Chemistry (journal); Gravimetric analysis; Microwave; Magnetic nanoparticles; Thermogravimetric analysis; Chemical engineering; Nuclear magnetic resonance; Nanotechnology; Chemistry; Magnetic field; Composite material; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008786079,0.00008215651,0.0002193208,0.0001133898,0.0001208689,0.0001445571,0.0002426408,0.00002488408,0.00007400346],"category_scores_gemma":[0.0002805775,0.00005757444,0.00002628206,0.0001253608,0.0007150388,0.0005855994,0.00006710925,0.0000482859,0.000002667968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000230829,"about_ca_system_score_gemma":0.0001194678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001383381,"about_ca_topic_score_gemma":0.000003173138,"domain_scores_codex":[0.999019,0.00002790109,0.000371441,0.0001344834,0.0002872171,0.0001600083],"domain_scores_gemma":[0.9992664,0.00005250453,0.0002858206,0.00009242696,0.0001960056,0.0001068084],"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":[0.00005804376,0.00003308543,0.0002000478,0.00002167585,0.000002203962,4.646974e-7,0.0005074066,0.000006097158,0.9972326,0.0001548595,0.000007255952,0.001776249],"study_design_scores_gemma":[0.0001820978,0.0002873258,0.005849166,0.0001894691,0.00001204137,0.00008254697,0.0002472545,0.00004347356,0.9925827,0.0002033257,0.0002506238,0.0000700094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983219,0.0004904151,0.0002623111,0.0005048483,0.0001293716,0.00005627715,0.000005781636,0.00000397434,0.0002251007],"genre_scores_gemma":[0.9979649,0.0002414713,0.001676745,0.00004419938,0.00002311753,9.350171e-7,2.870879e-8,0.00000372014,0.00004494901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005649118,"threshold_uncertainty_score":0.263459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166690040243328,"score_gpt":0.2362957639800088,"score_spread":0.2246288635775755,"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."}}