{"id":"W1974683139","doi":"10.1021/cm020126q","title":"Magnetic Nanocomposites:  Preparation and Characterization of Polymer-Coated Iron Nanoparticles","year":2002,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":240,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"University of Texas Health Science Center at San Antonio","keywords":"Dispersant; Polystyrene; Materials science; Superparamagnetism; Polymer; Chemical engineering; Nanocomposite; Nanoparticle; Polymer chemistry; Copolymer; Coercivity; Magnetic nanoparticles; Thermal decomposition; Nanotechnology; Dispersion (optics); Composite material; Organic chemistry; Chemistry; Magnetization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001942448,0.000370405,0.00018108,0.0003498761,0.0001535653,0.0001754233,0.0001686893,0.0002392195,0.0006443828],"category_scores_gemma":[0.000339027,0.000157095,0.0001126861,0.0001225923,0.0001650484,0.0001744067,0.0001208001,0.0002349413,0.0002676622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001684342,"about_ca_system_score_gemma":0.0001031218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003841912,"about_ca_topic_score_gemma":0.000648597,"domain_scores_codex":[0.9998877,0.00001021613,0.000009414466,0.00003274635,0.00004248387,0.00001749421],"domain_scores_gemma":[0.9998006,0.00004120183,0.00004019622,0.00001899347,0.00005822714,0.00004078174],"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":[0.00002192988,0.00001032682,0.00004519864,0.00001339345,0.000001244048,0.00001679031,0.000006048174,0.0000340986,0.999341,0.00001271135,0.000008001716,0.0004893533],"study_design_scores_gemma":[0.000006564183,0.00007344651,0.0008943406,0.000002555114,0.000005943572,0.0001041467,0.000004810136,0.0006993423,0.9976189,0.00001437602,0.0005737212,0.000001872486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806284,0.0009170845,0.015391,0.00006566132,0.00002509339,0.00008387373,0.000245269,0.0001945264,0.002449031],"genre_scores_gemma":[0.982738,0.0004270699,0.01292693,0.00003481668,0.00001615138,0.00005195513,0.0004446397,0.00009101693,0.003269479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006443828,"threshold_uncertainty_score":0.002155662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00935645124614684,"score_gpt":0.210791360218839,"score_spread":0.2014349089726921,"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."}}