{"id":"W2339140407","doi":"10.1002/anie.201600234","title":"Nanotexaphyrin: One‐Pot Synthesis of a Manganese Texaphyrin‐Phospholipid Nanoparticle for Magnetic Resonance Imaging","year":2016,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Porphyrin and Phthalocyanine Chemistry","field":"Materials Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute; Prostate Cancer Canada; National Cancer Institute; Princess Margaret Cancer Foundation","keywords":"Nanoparticle; Manganese; Materials science; Nanotechnology; Magnetic resonance imaging; Magnetic nanoparticles; Combinatorial chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001362603,0.0003583374,0.0001861782,0.0001612482,0.0001480403,0.0001481923,0.00024435,0.0003187526,0.001020187],"category_scores_gemma":[0.0001120707,0.0001701527,0.0001594842,0.0001602164,0.0001316954,0.000295617,0.0004048985,0.000406219,0.0005549055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002745102,"about_ca_system_score_gemma":0.0002989632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003069376,"about_ca_topic_score_gemma":0.0005278501,"domain_scores_codex":[0.9999236,0.000009779826,0.000006967085,0.00002601569,0.00001986285,0.00001383376],"domain_scores_gemma":[0.9999595,0.000007092906,0.00001153565,0.000007546573,0.000005169425,0.000009216005],"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":[0.00001574964,0.00001323307,0.00002790928,0.00006014566,0.000004819898,0.00004749929,0.00001862273,0.0001966453,0.9959154,0.0002798713,0.00004870911,0.003371328],"study_design_scores_gemma":[0.000008344564,0.00007988698,0.0002024101,0.000002344668,0.000005050577,0.0001406336,0.000004791413,0.0006753523,0.9962066,0.00005615961,0.002614151,0.000004253759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8541707,0.002927601,0.1326293,0.0003608888,0.00009035201,0.000401748,0.0008460031,0.000727267,0.00784626],"genre_scores_gemma":[0.9043826,0.001646252,0.08485088,0.0000704147,0.00001059713,0.0002402449,0.0004726484,0.00009929383,0.008227176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001020187,"threshold_uncertainty_score":0.003412902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335638553261296,"score_gpt":0.2407645408029763,"score_spread":0.2274081552703633,"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."}}