{"id":"W4386195373","doi":"10.1002/admt.202300705","title":"Low‐Cost and High‐Speed Fabrication of Camouflage‐Enabling Microfluidic Devices using Ultrahigh Molecular Weight Polyethylene","year":2023,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministère de la Défense Nationale","keywords":"Microfluidics; Opacity; Materials science; Fabrication; Camouflage; Nanotechnology; Optoelectronics; Polymer; Optics; Computer science; Composite material","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":[0.0001928225,0.0003450183,0.0001306569,0.0002441115,0.0001764049,0.0002979965,0.0003533115,0.0002965751,0.0005931369],"category_scores_gemma":[0.0002676872,0.0001870149,0.0002217908,0.0001101165,0.0002262826,0.0004688207,0.0003449066,0.0003793097,0.0002452609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730573,"about_ca_system_score_gemma":0.0002032114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001798074,"about_ca_topic_score_gemma":0.0003302248,"domain_scores_codex":[0.9998809,0.00001167558,0.00001060369,0.0000326735,0.00004419435,0.00001990659],"domain_scores_gemma":[0.9997861,0.00005930912,0.00009484216,0.00002034819,0.00001883888,0.00002059559],"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":[0.00001472536,0.0000170775,0.000108811,0.00005433194,0.000003074113,0.0000483872,0.0000246981,0.000122299,0.9938632,0.0005766527,0.00008135108,0.005085364],"study_design_scores_gemma":[0.000008023513,0.00008410618,0.0005081084,0.00000552865,0.000004381671,0.0001336814,0.000005798398,0.001178595,0.9922985,0.00004694049,0.005715766,0.00001051086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531784,0.004101036,0.1358964,0.0004137736,0.0003051133,0.0002040753,0.0002385215,0.0005960454,0.005066703],"genre_scores_gemma":[0.8712963,0.001807141,0.1216731,0.0001220541,0.00006057782,0.0001315737,0.0001542011,0.00003358108,0.004721313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005931369,"threshold_uncertainty_score":0.001984179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133862824165054,"score_gpt":0.2554788184977355,"score_spread":0.244140190256085,"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."}}