{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002951999,0.0004562791,0.0002238129,0.0004800702,0.0002027678,0.0006574955,0.0005971894,0.0003891282,0.002540075],"category_scores_gemma":[0.0005027314,0.0002701784,0.0003638534,0.0002348983,0.000268863,0.0004954514,0.0005200955,0.0005144756,0.001501779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543828,"about_ca_system_score_gemma":0.0002621168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001553232,"about_ca_topic_score_gemma":0.0002576777,"domain_scores_codex":[0.9997318,0.00001803713,0.00002561643,0.0000534879,0.0001426407,0.0000283159],"domain_scores_gemma":[0.9997838,0.00004464274,0.0000468877,0.00006165553,0.00004082106,0.00002217534],"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":[0.00003128076,0.00002449403,0.0001534922,0.0003128223,0.00001376787,0.0001496008,0.00003968357,0.001538291,0.9298596,0.007048986,0.001581736,0.05924636],"study_design_scores_gemma":[0.00001008737,0.0001013501,0.0004817448,0.00002456717,0.00001584197,0.0002473435,0.000008251587,0.004902891,0.9397141,0.0008025005,0.0536679,0.00002342283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1968451,0.008785571,0.7421669,0.000574151,0.00164729,0.0005219199,0.002544065,0.007683261,0.03923177],"genre_scores_gemma":[0.5110967,0.004854806,0.4660836,0.000371327,0.0002287967,0.000378948,0.001307392,0.0002711887,0.01540734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002540075,"threshold_uncertainty_score":0.008497417,"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."}}