{"id":"W4296261134","doi":"10.3389/fphys.2022.983187","title":"Hemocompatibility of micropatterned biomaterial surfaces is dependent on topographical feature size","year":2022,"lang":"en","type":"article","venue":"Frontiers in Physiology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Oregon National Primate Research Center; National Institutes of Health; University of Waterloo","keywords":"Biomaterial; Feature (linguistics); Computer science; Materials science; Nanotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003217356,0.0001290584,0.0003260537,0.000160303,0.00004345222,0.000005719631,0.0004088612,0.0001057071,0.0004373045],"category_scores_gemma":[0.00007083438,0.0001254204,0.00007090931,0.0003290185,0.000178932,0.0000185264,0.0002141402,0.000391018,0.000003991882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170228,"about_ca_system_score_gemma":0.00001998471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005414245,"about_ca_topic_score_gemma":0.000003348483,"domain_scores_codex":[0.9986662,0.0002176915,0.0002302664,0.0002869084,0.000272968,0.0003259474],"domain_scores_gemma":[0.9994358,0.0001424903,0.00003480799,0.0003142346,0.00001652922,0.00005613192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005657047,0.0002480939,0.04222952,0.0002128759,0.00009864492,0.00001421458,0.0003449139,0.002341798,0.9212567,0.00002335248,0.02927449,0.00338966],"study_design_scores_gemma":[0.002045494,0.0006384063,0.5629115,0.00003663009,0.00001280888,0.000006131914,0.0003274598,0.01361289,0.4084562,0.005492172,0.005964173,0.0004961718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973327,0.0001400246,0.0001021296,0.0002402504,0.001756015,0.000177244,0.00007901403,0.00005643915,0.0001161729],"genre_scores_gemma":[0.9976786,0.00002213167,0.002064614,0.00009060082,0.0000453936,0.00003277334,0.0000164351,0.00001730354,0.00003213982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5206819,"threshold_uncertainty_score":0.5114495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008395245384235946,"score_gpt":0.242061365756738,"score_spread":0.2336661203725021,"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."}}