{"id":"W2993612738","doi":"10.1002/aisy.201900105","title":"A Multifunctional Nanocomposite Hydrogel for Endoscopic Tracking and Manipulation","year":2019,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi di Verona; Arthritis Society; ReumaNederland; Dutch Arthritis Society","keywords":"Materials science; Nanotechnology; Fabrication; Nanocomposite; Gelatin; Nanoparticle; Nanomaterials; Magnetic nanoparticles; Nanoscopic scale; Iron oxide nanoparticles; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001275717,0.0003312853,0.0001113781,0.0001868483,0.0001003946,0.0002416796,0.0001958347,0.0003667568,0.0009935753],"category_scores_gemma":[0.0001107144,0.0001640632,0.0001656776,0.0000807723,0.0001154831,0.0003242985,0.0002062381,0.0002757732,0.0003861486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029038,"about_ca_system_score_gemma":0.0001699205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002880221,"about_ca_topic_score_gemma":0.0007085179,"domain_scores_codex":[0.9999299,0.000006389807,0.000003672536,0.00001942307,0.00002662369,0.00001394421],"domain_scores_gemma":[0.9999372,0.00001349862,0.00001957665,0.00000486834,0.00001069078,0.00001417195],"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":[0.00002039532,0.000008593626,0.00003159256,0.00004204044,0.000002651777,0.00004315277,0.000007898139,0.0001434594,0.9958184,0.0001291896,0.00008507196,0.003667586],"study_design_scores_gemma":[0.00001076921,0.00008072398,0.000349232,0.000006682059,0.00001032185,0.0003151367,0.000005893079,0.002932282,0.9906285,0.0000434925,0.005606844,0.00001015331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8421599,0.01173669,0.1293216,0.0006878101,0.0002866926,0.0001489521,0.0006352788,0.001508103,0.01351492],"genre_scores_gemma":[0.9365319,0.001647911,0.05236892,0.0001975989,0.00004293315,0.00007931235,0.0002194396,0.00008509573,0.008826854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009935753,"threshold_uncertainty_score":0.003323853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487117004247398,"score_gpt":0.2823391918812596,"score_spread":0.2574680218387856,"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."}}