{"id":"W4214667592","doi":"10.3390/nano12050726","title":"Special Issue: Application of Nanomaterials in Biomedical Imaging and Cancer Therapy","year":2022,"lang":"en","type":"editorial","venue":"Nanomaterials","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Nanomaterials; Nanotechnology; Nanorod; Nanoshell; Materials science; Cancer therapy; Nanoparticle; Cancer; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006059262,0.0004815446,0.001098922,0.000381205,0.00005714903,0.00008697417,0.0004365705,0.0005289123,0.002980335],"category_scores_gemma":[0.00008322515,0.0004877637,0.00007723161,0.0002740953,0.0001279898,0.0001679823,0.0001345647,0.0002236397,0.00001316974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004205649,"about_ca_system_score_gemma":0.0002078118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000279538,"about_ca_topic_score_gemma":0.00002007017,"domain_scores_codex":[0.997278,0.00007136081,0.00108274,0.0004613769,0.000660556,0.0004459773],"domain_scores_gemma":[0.9988785,0.0002442156,0.000315937,0.0004102202,0.00006666589,0.00008447457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001329255,0.00003312862,0.00004215759,0.0004725,0.00006237689,0.00001161246,0.0002737128,0.00002380575,0.4609704,0.000006643731,0.5180399,0.01993087],"study_design_scores_gemma":[0.001299484,0.00005065292,0.00003078217,0.00009961707,0.00002985193,0.000002893522,0.00002163959,0.00004553297,0.0667431,0.0001007964,0.9311445,0.0004311762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0561216,0.003830673,0.00002125042,0.00001643283,0.9356412,0.0008816872,0.002931549,0.0001932067,0.000362412],"genre_scores_gemma":[0.006984655,0.01336237,0.0001405683,0.00001316317,0.9775348,0.0006994627,0.0009384625,0.0002242977,0.0001022687],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4131046,"threshold_uncertainty_score":0.9997574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005224147605612549,"score_gpt":0.2477326776619396,"score_spread":0.2425085300563271,"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."}}