{"id":"W4385476547","doi":"10.1002/adma.202303867","title":"Digital Manufacturing of Functional Ready‐to‐Use Microfluidic Systems","year":2023,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"","keywords":"Materials science; Microfluidics; Nanotechnology; Systems engineering; Process engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015067,0.0001545438,0.0002339411,0.0001841229,0.00003918023,0.00007972139,0.0001336565,0.00006719829,0.00002830927],"category_scores_gemma":[0.000129045,0.0001496348,0.00002756246,0.0001044419,0.00003143756,0.000226443,0.0001095579,0.00005396273,0.0003466979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005037494,"about_ca_system_score_gemma":0.00000487967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007260116,"about_ca_topic_score_gemma":1.757044e-7,"domain_scores_codex":[0.9991444,0.000008090139,0.000268535,0.0001751123,0.0001448636,0.0002590405],"domain_scores_gemma":[0.999526,0.0001003343,0.00004351522,0.0002573422,0.00003616345,0.00003670806],"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":[0.00002122841,0.000005523322,0.00002656215,0.0002098999,0.00004121849,0.00001019659,0.00002648444,0.01131761,0.9700806,0.0003453004,0.00936052,0.008554844],"study_design_scores_gemma":[0.0001098773,0.00001894033,0.003518353,0.00008544131,0.000004312093,0.000003580646,0.00007492567,0.000011165,0.967729,0.0003246012,0.02796073,0.0001590711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936418,0.00007806989,0.001910471,0.00001932189,0.001195007,0.0001688086,0.0003192171,0.002180252,0.0004870376],"genre_scores_gemma":[0.9987817,0.0001907247,0.0002315632,0.000006301655,0.00005601307,0.00004711136,0.00008178551,0.00004228503,0.0005624468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0186002,"threshold_uncertainty_score":0.610193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161138911049413,"score_gpt":0.221303719587834,"score_spread":0.1996923304773398,"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."}}