{"id":"W4413160278","doi":"10.3390/mi16080931","title":"Direct-Write Printing for Flexible and 3D Electronics: Aerosol Jet vs. Micro Dispensing","year":2025,"lang":"en","type":"article","venue":"Micromachines","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Electronics; Printed electronics; Nanotechnology; Inkjet printing; 3D printing; Throughput; Jet (fluid); Materials science; Computer science; Inkwell; Engineering; Manufacturing engineering; Mechanical engineering; Electrical engineering; Telecommunications; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003648987,0.0002879375,0.000342957,0.0003286861,0.0002017118,0.0009666032,0.0004003293,0.0003230849,0.001088469],"category_scores_gemma":[0.0008608244,0.0001455923,0.0002920136,0.0003203026,0.0002415294,0.0005508331,0.0003952489,0.000388684,0.0003331003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928432,"about_ca_system_score_gemma":0.000188496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000158793,"about_ca_topic_score_gemma":0.0005124965,"domain_scores_codex":[0.9994166,0.00003609519,0.00004199071,0.0000704157,0.0004102381,0.00002478045],"domain_scores_gemma":[0.9996036,0.0002434302,0.00005150456,0.00003583329,0.00005306631,0.000012667],"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":[0.00007322194,0.00002777808,0.0006004327,0.0003416178,0.00001096226,0.0002138291,0.00004930387,0.0004789682,0.9486277,0.0004775704,0.00009535953,0.04900339],"study_design_scores_gemma":[0.000007244992,0.0001877697,0.00122978,0.000008770973,0.00001659544,0.0006400949,0.00002734158,0.003511171,0.9922097,0.0001008516,0.002049914,0.00001081882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8612799,0.01450954,0.1040875,0.0002225789,0.0002433015,0.0001587566,0.0003325305,0.0006318169,0.01853399],"genre_scores_gemma":[0.9197363,0.005056191,0.07139523,0.0001279609,0.00005743767,0.00005294763,0.0001570659,0.00006534881,0.003351379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001088469,"threshold_uncertainty_score":0.003641307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006920609270304861,"score_gpt":0.2302920724470062,"score_spread":0.2233714631767013,"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."}}