{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009019834,0.0001489772,0.000215054,0.0005255176,0.00003502596,0.00002527398,0.0006089992,0.0002751094,0.0001810657],"category_scores_gemma":[0.000115377,0.0001394154,0.00006473145,0.0001560236,0.0001083242,0.00009875305,0.00008612981,0.0002128811,0.00006386951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347057,"about_ca_system_score_gemma":0.00003252716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001819821,"about_ca_topic_score_gemma":0.000002020995,"domain_scores_codex":[0.9989668,0.00002084531,0.0004391008,0.000126478,0.0002606286,0.0001861691],"domain_scores_gemma":[0.9994708,0.00004227991,0.00009359475,0.0001660913,0.00018202,0.0000452586],"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":[0.0001272298,0.00002550042,0.0002876389,0.000002092546,0.00006067452,0.0005110891,0.000108156,0.000872477,0.9292337,0.0002132668,0.009318896,0.05923932],"study_design_scores_gemma":[0.0007457153,0.0005940758,0.00164148,0.00007333308,0.00002796129,0.00192754,0.00009232379,0.001161055,0.9679561,0.004318712,0.02119707,0.0002646019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901567,0.00116623,0.0929453,0.001277179,0.002538226,0.00009817745,0.00001921405,0.0003293104,0.00005929441],"genre_scores_gemma":[0.9697998,0.0006850249,0.02911748,0.00009788628,0.0002284609,0.000002460666,0.000004671113,0.00002279668,0.00004146484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06823269,"threshold_uncertainty_score":0.5685195,"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."}}