{"id":"W3216513689","doi":"10.1007/s00259-021-05622-7","title":"Supramolecular biomaterials for bio-imaging and imaging-guided therapy","year":2021,"lang":"en","type":"review","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Supramolecular chemistry; Nanotechnology; Biocompatibility; Biomedicine; Biocompatible material; Materials science; Biomedical engineering; Medicine; Chemistry; Bioinformatics; Biology","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":[0.0004398912,0.0008386716,0.0009141441,0.00120569,0.0002030925,0.0008249945,0.0006672801,0.0009724178,0.002752822],"category_scores_gemma":[0.000384193,0.0002757059,0.0002528901,0.001442852,0.0004380627,0.001011524,0.0007622467,0.001298375,0.001895045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005009338,"about_ca_system_score_gemma":0.0006045273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004474263,"about_ca_topic_score_gemma":0.00090481,"domain_scores_codex":[0.9998724,0.00002336552,0.00001104545,0.00002179994,0.00004938259,0.00002198276],"domain_scores_gemma":[0.999891,0.00004729519,0.00002242594,0.000005794343,0.00002185441,0.00001161988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001300774,0.0001654249,0.00008524884,0.01417915,0.00009003848,0.0002218087,0.00006492147,0.0006837553,0.02118239,0.01472318,0.03088019,0.9175938],"study_design_scores_gemma":[0.00002542982,0.0001239217,0.0004372186,0.00134308,0.00006615379,0.0005993932,0.00003328294,0.0002966009,0.007026066,0.002539814,0.9874802,0.0000288028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003555867,0.997139,0.0004073532,0.0001874513,0.0002884986,0.000009214426,0.00001999673,0.00001097146,0.001581894],"genre_scores_gemma":[0.003747167,0.9928462,0.0006158343,0.0001966606,0.0002399533,0.00002207658,0.00004267755,0.000003939426,0.002285485],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002752822,"threshold_uncertainty_score":0.009209096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560984211414358,"score_gpt":0.3357675001986971,"score_spread":0.2901576580845535,"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."}}