{"id":"W2994903678","doi":"10.1080/14686996.2019.1702861","title":"Anodic bonding of mid-infrared transparent germanate glasses for high pressure - high temperature microfluidic applications","year":2019,"lang":"en","type":"article","venue":"Science and Technology of Advanced Materials","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Centre National de la Recherche Scientifique; Canada Excellence Research Chairs, Government of Canada; Agence Nationale de la Recherche","keywords":"Anodic bonding; Materials science; Borosilicate glass; Microreactor; Silicon; Infrared; Wafer; Optoelectronics; Soda-lime glass; Thermal conductivity; Composite material; Optics; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003547132,0.0001742746,0.0004671788,0.0002996283,0.0001708005,0.00004165179,0.0006375946,0.0001692445,0.0001074532],"category_scores_gemma":[0.00007465931,0.0001342511,0.00002388217,0.0006718951,0.001134532,0.0003090316,0.0001052259,0.00005871133,0.000003140515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001548062,"about_ca_system_score_gemma":0.0001412687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000315002,"about_ca_topic_score_gemma":0.000001337722,"domain_scores_codex":[0.9984409,0.00001453093,0.0004247824,0.0005270615,0.0002455511,0.0003471775],"domain_scores_gemma":[0.9987347,0.00005353645,0.0003235096,0.0004754777,0.0003643867,0.00004838246],"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":[0.00005954424,0.00002201122,0.0002292351,0.0003413651,0.000005401777,2.952356e-7,0.00003597323,0.000003912732,0.9898797,0.008800619,0.00005870574,0.0005631985],"study_design_scores_gemma":[0.0005635644,0.0001761512,0.0009095992,0.00008336394,0.00002862302,0.00000868353,0.0001019211,6.07861e-7,0.9867656,0.009260492,0.001946658,0.0001547935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963583,0.001139045,0.0000286399,0.000334272,0.0005815896,0.001030543,0.0004408449,0.00007295956,0.00001377989],"genre_scores_gemma":[0.9970027,0.0002078887,0.00241978,0.00002904934,0.0000208129,0.0001379123,0.00001306741,0.00001199979,0.0001567517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003114197,"threshold_uncertainty_score":0.5474601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005398868118420179,"score_gpt":0.2418589221910195,"score_spread":0.2364600540725993,"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."}}