{"id":"W4413838757","doi":"10.24908/iqurcp19792","title":"Microfluidics and Chip Development","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Microfluidics; Microfluidic chip; Chip; Organ-on-a-chip; Nanotechnology; Computer science; Biochemical engineering; Materials science; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006468298,0.0002217536,0.0002351744,0.0005938119,0.0002758655,0.0002994948,0.0004331627,0.0001982847,0.00000803989],"category_scores_gemma":[0.0001954579,0.0002123137,0.00002451708,0.0007713693,0.0006016957,0.0002653691,0.0003651679,0.0006920972,0.00004622623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001740238,"about_ca_system_score_gemma":0.0002220333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002067917,"about_ca_topic_score_gemma":0.000003136368,"domain_scores_codex":[0.9982575,0.00001365454,0.0002849475,0.0003706136,0.0003868346,0.0006864436],"domain_scores_gemma":[0.9992005,0.00009100522,0.00001997961,0.0001485374,0.0004291692,0.0001107631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004390701,0.00007917277,0.01403839,0.001532921,0.0003057836,0.0000181706,0.004592471,0.000004714037,0.07242489,0.6075546,0.07716414,0.2222409],"study_design_scores_gemma":[0.001042825,0.0001393413,0.007511775,0.001068657,0.00002410597,0.00001940654,0.008165537,0.003022302,0.4532003,0.3293241,0.1955292,0.0009524911],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283082,0.002217511,0.01198232,0.01371132,0.0003189175,0.0007226082,0.000002765416,0.001855613,0.04088068],"genre_scores_gemma":[0.9934,0.003421834,0.001763413,0.00003780439,0.000033977,0.0001102345,0.000003110368,0.00002428864,0.001205365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3807754,"threshold_uncertainty_score":0.8657903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06113939030266621,"score_gpt":0.3276189985215977,"score_spread":0.2664796082189315,"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."}}