{"id":"W4319442107","doi":"10.3390/ijms24043232","title":"Microfluidic Organ-on-A-chip: A Guide to Biomaterial Choice and Fabrication","year":2023,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Microfluidics; Microfabrication; Nanotechnology; Polydimethylsiloxane; Biomaterial; Self-healing hydrogels; Microtechnology; Materials science; Organ-on-a-chip; Lab-on-a-chip; Fabrication; Biomedical engineering; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002269539,0.002503826,0.002258139,0.004564425,0.0007310852,0.002301278,0.003064104,0.00262879,0.0054277],"category_scores_gemma":[0.001515208,0.001727813,0.0009849633,0.002921792,0.00177668,0.003019258,0.001581376,0.004725549,0.009282416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199085,"about_ca_system_score_gemma":0.001490665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298067,"about_ca_topic_score_gemma":0.002582664,"domain_scores_codex":[0.9987763,0.0002352862,0.0001435199,0.0001827357,0.0005913764,0.00007090006],"domain_scores_gemma":[0.9990118,0.0004829898,0.00009947288,0.00006841667,0.0002676596,0.00006970793],"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":[0.00008246762,0.0002087246,0.0001955561,0.01304783,0.0001065462,0.0006489743,0.0002969499,0.002066074,0.05684935,0.04870057,0.1762565,0.7015404],"study_design_scores_gemma":[0.000009759329,0.00007204253,0.0001202582,0.0008628593,0.00001962807,0.0005754305,0.00002101373,0.0004087818,0.006489816,0.003501868,0.9878765,0.00004209058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004087797,0.9133188,0.06683978,0.001737458,0.002213192,0.0002726099,0.0006975925,0.0008620346,0.01364978],"genre_scores_gemma":[0.00276832,0.8962974,0.08290446,0.00213931,0.001260245,0.0007705009,0.0009128244,0.0002093239,0.01273762],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0054277,"threshold_uncertainty_score":0.01815742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04825185382802784,"score_gpt":0.3978326761139349,"score_spread":0.349580822285907,"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."}}