{"id":"W1983185949","doi":"10.1504/ijnt.2008.019839","title":"Magnetic nanocarriers: from material design to magnetic manipulation","year":2008,"lang":"en","type":"article","venue":"International Journal of Nanotechnology","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Canadian Institutes of Health Research","keywords":"Nanocarriers; Nanotechnology; Magnetic nanoparticles; Microfluidics; Materials science; Superparamagnetism; Magnetic field; Fabrication; Nanomagnet; Magnetic separation; Nanoparticle; Physics; Magnetization","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":[0.0006532092,0.0006521872,0.001006133,0.001465377,0.0003189332,0.001569219,0.001201309,0.001562612,0.001834453],"category_scores_gemma":[0.0006167417,0.0005275204,0.0004152594,0.001057902,0.001328919,0.001812202,0.0008809176,0.001681201,0.001817531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144144,"about_ca_system_score_gemma":0.0005646174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005514441,"about_ca_topic_score_gemma":0.0004812075,"domain_scores_codex":[0.9996222,0.00006737232,0.00002957702,0.00008171269,0.0001622367,0.00003698789],"domain_scores_gemma":[0.9998307,0.00006634075,0.00001744909,0.00001648296,0.00004894068,0.00002006733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000163743,0.0001607178,0.0002833353,0.008550237,0.00008836304,0.0004349642,0.0006326165,0.01048437,0.1489765,0.2675116,0.0221833,0.5405303],"study_design_scores_gemma":[0.0000378722,0.0002817478,0.0003264551,0.001249627,0.00003856359,0.0006769106,0.0001026338,0.008703433,0.05754568,0.1041114,0.8268329,0.00009281306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005154541,0.8833435,0.08631063,0.004292428,0.001905105,0.00009522669,0.000113775,0.0004119079,0.01837293],"genre_scores_gemma":[0.05030317,0.8410199,0.07822616,0.002514903,0.002104446,0.0002656953,0.0002437401,0.000210229,0.02511179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001834453,"threshold_uncertainty_score":0.008301377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976710030112107,"score_gpt":0.2151559941811441,"score_spread":0.195388893880023,"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."}}