{"id":"W4377022804","doi":"10.26434/chemrxiv-2023-t0vm9","title":"Advancements in Surface Modification Strategies of Blood-contacting Biomaterials to Improve Biocompatibility and Tissue Integration","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Biocompatibility; Surface modification; Tissue engineering; Adhesion; Biomedical engineering; Medicine; Nanotechnology; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007549379,0.0002803114,0.0005631908,0.000144083,0.0000512219,0.000163818,0.0002414719,0.0001491508,0.00003532153],"category_scores_gemma":[0.0002620606,0.0002756187,0.00003587735,0.0001758925,0.0001173104,0.0003151275,0.0005413679,0.0001075084,0.00004574782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008795675,"about_ca_system_score_gemma":0.00007727349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004243879,"about_ca_topic_score_gemma":0.0005279772,"domain_scores_codex":[0.9978489,0.0001106879,0.0008242871,0.0007486704,0.0002209626,0.0002465526],"domain_scores_gemma":[0.9985572,0.0001618184,0.0005481998,0.0005053531,0.0001708613,0.0000565791],"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":[0.00004576274,0.00006820299,0.001282703,0.0003048485,0.00002220174,0.0000010995,0.001319209,0.000479922,0.9958783,0.00006599768,0.0000142356,0.0005175004],"study_design_scores_gemma":[0.0002061795,0.00004507662,0.006581937,0.000327735,0.00002971707,4.281222e-7,0.002212053,0.0001317639,0.9895948,0.0006550984,0.00001244927,0.0002028206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962223,0.0002394202,0.0007278913,0.000239384,0.001462003,0.0008063432,0.0000924781,0.000118065,0.00009209834],"genre_scores_gemma":[0.99688,0.00005875913,0.002741181,0.00000716661,0.0000398517,0.0001220942,0.00004039672,0.00002497234,0.00008558256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006283577,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0660082383151851,"score_gpt":0.3649179217176134,"score_spread":0.2989096834024283,"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."}}