{"id":"W2418389813","doi":"10.1021/acs.biomac.5b00890","title":"Blood Components Interactions to Ionic and Nonionic Glyconanogels","year":2015,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Nanomaterials; Chemistry; Cationic polymerization; Raft; Nanotechnology; Compatibility (geochemistry); Hemolysis; Chemical engineering; Biophysics; Molecule; Polymerization; Polymer chemistry; Materials science; Polymer; Organic 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":[0.0002522925,0.0003667267,0.00009608299,0.0001453911,0.000112681,0.0002028237,0.0001685764,0.0002264864,0.001092082],"category_scores_gemma":[0.0002608173,0.00009932988,0.0001696071,0.00008772959,0.0002543554,0.0001972177,0.0002720952,0.0002665495,0.0001921712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001905643,"about_ca_system_score_gemma":0.0001593966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002986857,"about_ca_topic_score_gemma":0.0003317941,"domain_scores_codex":[0.9998559,0.00003925549,0.000007886163,0.00002744492,0.00004198842,0.00002758651],"domain_scores_gemma":[0.9999001,0.00003077288,0.00002866598,0.000005710157,0.0000168032,0.00001795504],"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":[0.00003975146,0.000009263614,0.0001439994,0.00005469461,0.00000436441,0.00005078329,0.00002564957,0.00008725034,0.9974914,0.0002650958,0.00004231336,0.001785451],"study_design_scores_gemma":[0.000004175935,0.0001539499,0.000670303,0.000005765215,0.000006919062,0.0001155964,0.00001573657,0.0003425051,0.996646,0.00007038852,0.001964576,0.000004073866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986347,0.002761058,0.006983906,0.0001058416,0.00004701553,0.00004073433,0.00006151925,0.0000378155,0.003615143],"genre_scores_gemma":[0.9926743,0.001146294,0.003155517,0.0001821619,0.00001529002,0.00002529356,0.00007678725,0.00001261906,0.002711717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001092082,"threshold_uncertainty_score":0.003653347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364495056326681,"score_gpt":0.2969290436997425,"score_spread":0.2604795380670744,"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."}}