{"id":"W1649653916","doi":"10.1109/pn.2015.7292461","title":"Evaluation of optical properties and biocompatibility of polymer materials for microfluidic applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Biocompatibility; Materials science; Polydimethylsiloxane; Microfluidics; Polymer; Nanotechnology; Biomaterial; Polystyrene; Biosensor; Copolymer; Biomedical engineering; Composite material","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":[0.0004633503,0.0004300068,0.0000997422,0.000473184,0.0001485257,0.0001981133,0.0001320552,0.0003363175,0.0008028146],"category_scores_gemma":[0.001050573,0.0001477125,0.0001637308,0.0002925059,0.000190264,0.0003221649,0.000107553,0.000221597,0.0002104568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106301,"about_ca_system_score_gemma":0.0001318159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002334826,"about_ca_topic_score_gemma":0.0003357019,"domain_scores_codex":[0.9998128,0.00004164081,0.00001488057,0.00002990555,0.00007204444,0.00002877848],"domain_scores_gemma":[0.9995331,0.0002201487,0.0001047859,0.00002547002,0.00008938316,0.0000272995],"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":[0.0000337282,0.00001652382,0.0002543908,0.00004482156,0.000003344911,0.00001539565,0.00001096039,0.0001010576,0.9972668,0.00003216253,0.00000917756,0.002211734],"study_design_scores_gemma":[0.000002253502,0.0001618459,0.001552164,0.0000036606,0.00001106571,0.00003736459,0.000009189925,0.0003727239,0.9973084,0.00001291734,0.00052575,0.000002726828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818401,0.00475436,0.01061438,0.00006422884,0.00003488773,0.00008073021,0.0001275033,0.00004578599,0.002438079],"genre_scores_gemma":[0.9846013,0.002518882,0.01124399,0.00003713828,0.00001146748,0.00007923663,0.0001355306,0.00001929807,0.00135318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008028146,"threshold_uncertainty_score":0.002685666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05407575391076508,"score_gpt":0.2614685712291359,"score_spread":0.2073928173183708,"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."}}