{"id":"W2123434494","doi":"10.1016/j.jmmm.2014.09.069","title":"Electrospun magnetic nanofibre mats – A new bondable biomaterial using remotely activated magnetic heating","year":2014,"lang":"en","type":"article","venue":"Journal of Magnetism and Magnetic Materials","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education of the People's Republic of China; Canada Foundation for Innovation","keywords":"Materials science; Electrospinning; Magnetite; Specific absorption rate; Polymer; Magnetic nanoparticles; Magnetic hyperthermia; Magnetic field; Composite material; Chemical engineering; Nanoparticle; Nanotechnology","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":[0.000175345,0.0004458725,0.0001843956,0.0003483136,0.0002010607,0.0002786496,0.0003708091,0.000743682,0.001034751],"category_scores_gemma":[0.0001751889,0.0002515796,0.0002544461,0.0001210335,0.0002208204,0.0005149632,0.0002304933,0.0003552946,0.0004473159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253268,"about_ca_system_score_gemma":0.00007643172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000940594,"about_ca_topic_score_gemma":0.0002576387,"domain_scores_codex":[0.9998394,0.0000183801,0.00001204323,0.00005496659,0.00005077997,0.00002437377],"domain_scores_gemma":[0.9998536,0.00002925912,0.00005293046,0.0000204544,0.00002220245,0.00002156939],"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":[0.000009620792,0.000006562268,0.00001519575,0.00002508266,0.000002516425,0.00004559163,0.000007939467,0.0000496918,0.9988042,0.00007276128,0.00004520229,0.0009155861],"study_design_scores_gemma":[0.000005260335,0.00007553794,0.0005017505,0.000003462106,0.000008757955,0.0002095956,0.000009931675,0.0008750588,0.9963558,0.00004170774,0.001904989,0.000008151284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931021,0.004928974,0.0504157,0.0004660185,0.0004970293,0.00009958984,0.0002955044,0.001121466,0.01115478],"genre_scores_gemma":[0.9704875,0.0009071937,0.02293935,0.0001545613,0.0001117995,0.00005634304,0.0001353575,0.00008671586,0.005121205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001034751,"threshold_uncertainty_score":0.00346154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008429123822179406,"score_gpt":0.2327827213077632,"score_spread":0.2243535974855838,"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."}}