{"id":"W2895998408","doi":"10.1088/1361-6528/aae7de","title":"Modeling organ-specific vasculature with organ-on-a-chip devices","year":2018,"lang":"en","type":"review","venue":"Nanotechnology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Organ-on-a-chip; Tissue engineering; Function (biology); Organ system; Interface (matter); Microfabrication; Computer science; Cell function; Nanotechnology; Biochemical engineering; Biomedical engineering; Computational biology; Neuroscience; Biology; Cell biology; Materials science; Microfluidics; Medicine; Cell; Pathology; 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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0004126962,0.0007272913,0.001578182,0.0009511184,0.0001273599,0.00007562785,0.001580351,0.002870091,0.0002457599],"category_scores_gemma":[0.0002229746,0.0005263335,0.0002355764,0.001758166,0.0004919923,0.00005560575,0.000293951,0.002995408,0.001779088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003046912,"about_ca_system_score_gemma":0.000172962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003898582,"about_ca_topic_score_gemma":0.00001432862,"domain_scores_codex":[0.9968879,0.00007643605,0.0005990296,0.0008442767,0.0006307347,0.0009616001],"domain_scores_gemma":[0.9979233,0.0002121524,0.00008547195,0.001479765,0.0001444339,0.0001548343],"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":[0.000004894399,0.0000274851,8.975484e-7,0.007475367,0.0003654147,0.00007624299,0.00001859665,0.0002514567,0.00001328811,0.0009902706,0.001253088,0.989523],"study_design_scores_gemma":[0.0001738446,0.0001145871,1.304057e-7,0.00740418,0.0001092709,0.0001216691,0.000007055029,0.001791114,0.0001060434,0.0002024152,0.9893956,0.000574053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002500145,0.9908628,0.005010523,0.00008934314,0.0005059048,0.0006037247,0.00001515582,0.00196027,0.0007022285],"genre_scores_gemma":[0.001047208,0.9950711,0.002854937,0.00002148562,0.0004432146,0.0001023262,0.00004773205,0.0003117895,0.000100236],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9889489,"threshold_uncertainty_score":0.9997188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031866985802692,"score_gpt":0.2985402004563434,"score_spread":0.2582215305983165,"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."}}