{"id":"W3020806854","doi":"10.1002/admt.202000103","title":"Transcribing In Vivo Blood Vessel Networks into In Vitro Perfusable Microfluidic Devices","year":2020,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Royal Bank of Canada","keywords":"Polydimethylsiloxane; Blood vessel; Materials science; Microfluidics; Biomedical engineering; In vivo; Vascular network; Nanotechnology; Computer science; Anatomy; Biology; Engineering","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":[0.0002703389,0.000219391,0.0003978519,0.0002187406,0.00003469503,0.0000589502,0.0005785942,0.0002748502,0.00005220983],"category_scores_gemma":[0.0003769599,0.0002205269,0.00002668699,0.0007265101,0.0001417786,0.000214673,0.0001839433,0.0003753641,0.00001525441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006733747,"about_ca_system_score_gemma":0.00001590416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003977496,"about_ca_topic_score_gemma":0.00001056898,"domain_scores_codex":[0.9984161,0.00003062835,0.0004440388,0.0003483588,0.0001655041,0.0005954165],"domain_scores_gemma":[0.9995473,0.00009615329,0.00003261674,0.0002578199,0.00001831385,0.00004779541],"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":[0.00004144753,0.00001897927,0.0001887994,0.0003002073,0.00001026155,0.0000488148,0.0001358789,0.001624119,0.9867091,0.000056489,0.00008036305,0.01078554],"study_design_scores_gemma":[0.0005251052,0.00003800849,0.00008750142,0.0001560634,0.000004492782,0.000002205569,0.0004279761,0.001181765,0.9944851,0.00049374,0.00237302,0.0002249529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891635,0.005908908,0.001603399,0.0009004012,0.0001831884,0.0002960003,0.000008920249,0.001825991,0.0001097288],"genre_scores_gemma":[0.9871716,0.00450091,0.00808645,0.00004951462,0.00002790589,0.0001080568,0.000006555575,0.00004540129,0.000003526365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01056059,"threshold_uncertainty_score":0.8992828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211648834089018,"score_gpt":0.23956809630313,"score_spread":0.2274516079622398,"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."}}