{"id":"W2119694372","doi":"10.1007/s11051-012-1307-5","title":"Annealing of magnetic nanoparticles for their encapsulation into microcarriers guided by vascular magnetic resonance navigation","year":2012,"lang":"en","type":"article","venue":"Journal of Nanoparticle Research","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Université de Montréal; Canada Research Chairs; Polytechnique Montréal","keywords":"Materials science; Nanoparticle; Annealing (glass); PLGA; Cobalt; Chemical engineering; Magnetic nanoparticles; Nanotechnology; Analytical Chemistry (journal); Composite material; Metallurgy; Chromatography; Chemistry","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":[0.008392933,0.000199319,0.0004281091,0.000261559,0.0002958901,0.0001084404,0.0005175073,0.0001131117,0.0001242534],"category_scores_gemma":[0.001007992,0.0001706702,0.0001823244,0.0008307598,0.0004144559,0.0009587132,0.0001140772,0.0002375457,0.00004233738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424226,"about_ca_system_score_gemma":0.0002454166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006760727,"about_ca_topic_score_gemma":0.000002636228,"domain_scores_codex":[0.9954606,0.0007705537,0.001241899,0.0002721142,0.001246978,0.00100787],"domain_scores_gemma":[0.9964669,0.0007636753,0.0004233294,0.0004277717,0.001498085,0.0004202589],"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":[0.0003398802,0.0003015651,0.003681441,0.0001062576,0.000009976563,0.000003185954,0.001694319,0.0002803546,0.9825585,0.0001195042,0.001700467,0.009204513],"study_design_scores_gemma":[0.001606198,0.001085473,0.001563916,0.0001882149,0.00004459257,0.00002735663,0.0008201869,0.002430186,0.9888712,0.000771725,0.002414983,0.0001760335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97052,0.02803692,0.0001923816,0.0003950872,0.0002718967,0.0005260431,0.00002603128,0.0000207898,0.00001087082],"genre_scores_gemma":[0.9953769,0.0001649266,0.004096631,0.00003460242,0.0002076962,0.00003860037,0.000003608119,0.00003926833,0.00003780298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02787199,"threshold_uncertainty_score":0.6959727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04224449260664328,"score_gpt":0.3309707589484144,"score_spread":0.2887262663417712,"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."}}