{"id":"W6884490872","doi":"10.1021/la903815t.s001","title":"Nanobeads Highly Loaded with Superparamagnetic Nanoparticles Prepared by Emulsification and Seeded-Emulsion Polymerization","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"","keywords":"Superparamagnetism; Colloid; Thermogravimetric analysis; Polymerization; Nanoparticle; Polymer; Emulsion polymerization; Saturation (graph theory)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001700138,0.0001600246,0.0001146622,0.00005292588,0.00008036821,0.0000782542,0.0001127105,0.00006742054,0.006804694],"category_scores_gemma":[0.00005954934,0.0001191857,0.0000155538,0.0002124323,0.00002196228,0.0002626266,0.00002654631,0.0000345278,0.0002856246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002604407,"about_ca_system_score_gemma":0.000009111527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001865934,"about_ca_topic_score_gemma":0.000002139366,"domain_scores_codex":[0.999192,0.00001655793,0.0002020784,0.0002354529,0.0001488949,0.0002049874],"domain_scores_gemma":[0.9994656,0.00006147203,0.00004340897,0.0002530807,0.00005987016,0.0001166033],"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":[0.00001204111,0.00002374817,0.0001183991,0.00003755587,0.000006375715,4.098105e-7,0.00005874828,0.00002440501,0.9695329,0.00003444615,0.01582029,0.0143307],"study_design_scores_gemma":[0.0007072524,0.00007683535,0.005658146,0.0002920095,0.00001320949,0.000007417857,0.00003123498,0.001828241,0.9630004,0.00001539431,0.02810265,0.0002671675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818289,0.000609947,0.0002624589,0.0007253141,0.00002299278,0.000479642,0.01492913,0.0006571036,0.0004844833],"genre_scores_gemma":[0.9930297,0.00003219639,0.0001142046,0.00005118044,0.00002620674,0.0002751012,0.006169413,0.00003696789,0.0002650393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01406353,"threshold_uncertainty_score":0.9941032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006346175703027463,"score_gpt":0.1767984224276711,"score_spread":0.1704522467246437,"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."}}