{"id":"W4385277378","doi":"10.1002/smll.202370235","title":"A Nanoparticle Ink Allowing the High Precision Visualization of Tissue Engineered Scaffolds by MRI (Small 30/2023)","year":2023,"lang":"en","type":"article","venue":"Small","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Biocompatible material; Scaffold; Materials science; Nanoparticle; Iron oxide nanoparticles; Nanotechnology; Magnetic resonance imaging; Iron oxide; Magnetic nanoparticles; 3D printing; Visualization; Tissue engineering; Inkwell; Biomedical engineering; Computer science; Composite material; Engineering; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003376643,0.0003812154,0.0001468515,0.0006150787,0.0001969111,0.0003981719,0.0002432338,0.0005392835,0.002096524],"category_scores_gemma":[0.0003748739,0.0002298597,0.000297195,0.0001644688,0.0003975609,0.0003656705,0.0003770747,0.000454718,0.0009601223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002155853,"about_ca_system_score_gemma":0.0002039922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002595351,"about_ca_topic_score_gemma":0.0005552486,"domain_scores_codex":[0.9998044,0.00002647343,0.00001496635,0.00004841409,0.00008560355,0.00002006688],"domain_scores_gemma":[0.9997384,0.0001201487,0.00004604406,0.00002667229,0.00003844734,0.00003030736],"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":[0.00003655576,0.00002319277,0.00004578949,0.00004561363,0.000003945556,0.00009062767,0.00002008814,0.00007799885,0.9891834,0.0009789699,0.0003567962,0.00913708],"study_design_scores_gemma":[0.000006894046,0.00004727041,0.0001620381,0.000002798846,0.000004890667,0.0002206639,0.000002909454,0.0004510203,0.9921339,0.00008789825,0.006874125,0.000005748656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5384154,0.01065076,0.3862389,0.002010795,0.001695741,0.000447796,0.0009333102,0.003080148,0.05652728],"genre_scores_gemma":[0.720644,0.003224376,0.212627,0.001035351,0.000198029,0.0002616602,0.0006309811,0.0003735496,0.06100511],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002096524,"threshold_uncertainty_score":0.007013619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892269939012407,"score_gpt":0.2745488978698283,"score_spread":0.2556261984797042,"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."}}