{"id":"W2794400808","doi":"10.1002/adhm.201701405","title":"Toward Immunocompetent 3D Skin Models","year":2018,"lang":"en","type":"review","venue":"Advanced Healthcare Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fiducie de Recherche sur la Foret des Cantons-de-l'Est; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Commonwealth Scientific and Industrial Research Organisation","keywords":"Computer science; Scope (computer science); Induced pluripotent stem cell; Scaffold; Variety (cybernetics); Computational model; Immune system; Human skin; Nanotechnology; Risk analysis (engineering); Biochemical engineering; Biology; Engineering; Artificial intelligence; Immunology; Medicine; Materials science; Embryonic stem cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009302009,0.0007680433,0.0007004654,0.002078514,0.0002209276,0.001289423,0.00101536,0.001215674,0.002615795],"category_scores_gemma":[0.0007229839,0.0004528211,0.0007420711,0.0009728312,0.0006234219,0.001495589,0.0008816457,0.001788064,0.001663416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004990418,"about_ca_system_score_gemma":0.0004679296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005746336,"about_ca_topic_score_gemma":0.0007229318,"domain_scores_codex":[0.9996044,0.00007339392,0.00004080544,0.000061484,0.0001914115,0.00002861514],"domain_scores_gemma":[0.9996915,0.000132976,0.00005259003,0.00002005463,0.00007870447,0.00002430063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008358096,0.0001894873,0.0004274534,0.02350154,0.00007509338,0.001210681,0.0003572587,0.003198428,0.09770593,0.03408182,0.01725817,0.8219106],"study_design_scores_gemma":[0.00001193042,0.0001437539,0.0005926826,0.001592246,0.00007156545,0.003772886,0.00009046885,0.0008378471,0.03178843,0.003362538,0.9577011,0.00003465752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002405403,0.9806219,0.008898108,0.0003967779,0.0004139147,0.0000506283,0.0000735367,0.00007264283,0.007067112],"genre_scores_gemma":[0.01356441,0.9733166,0.007986219,0.0003929721,0.0001660994,0.00008466487,0.0001641765,0.00002108428,0.004303673],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002615795,"threshold_uncertainty_score":0.008750737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130973445926272,"score_gpt":0.3860809631048159,"score_spread":0.2729836185121887,"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."}}