{"id":"W2052480747","doi":"10.1021/ac049265c","title":"Infrared Spectroscopy for Chemically Specific Sensing in Silicon-Based Microreactors","year":2004,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defense Advanced Research Projects Agency; Ontario Council on Graduate Studies, Council of Ontario Universities; Camille and Henry Dreyfus Foundation","keywords":"Microreactor; Microfabrication; Chemistry; Silicon; Etching (microfabrication); Fourier transform infrared spectroscopy; Infrared spectroscopy; Fourier transform spectroscopy; Spectroscopy; Analytical Chemistry (journal); Fabrication; Chemical engineering; Catalysis; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005668503,0.0001811138,0.0002157866,0.00003494171,0.00003128283,0.00002771061,0.0001360161,0.0001514822,0.0000949039],"category_scores_gemma":[0.00002491928,0.0001998754,0.0001094252,0.0002509831,0.00006439271,0.00002505013,0.000009988912,0.0002093367,0.00001693473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897145,"about_ca_system_score_gemma":0.00006435824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003914363,"about_ca_topic_score_gemma":5.395656e-7,"domain_scores_codex":[0.9989943,0.00000240781,0.0002764203,0.0002568955,0.00009747191,0.0003725093],"domain_scores_gemma":[0.9994969,0.00005888579,0.00001993995,0.0002754722,0.0000321078,0.0001166433],"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":[0.00001513671,0.00003418798,0.00005084584,0.00006104384,0.00001493338,0.000004507834,0.00001264063,0.000189286,0.9902918,0.0001584855,0.009111405,0.00005574243],"study_design_scores_gemma":[0.0006233298,0.00000818074,0.00008891113,0.00002669308,0.00001437766,0.000004506171,0.00001626088,0.002263895,0.9768217,0.001530918,0.01838254,0.0002187332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744515,0.002268826,0.01330895,0.0002211278,0.00002211896,0.0001871381,0.00002039652,0.0001744367,0.009345517],"genre_scores_gemma":[0.9972465,0.0008246804,0.001348499,0.0001052131,0.0001434897,0.00001759603,0.0001224785,0.00004853528,0.0001430191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.022795,"threshold_uncertainty_score":0.8150681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006990796506678148,"score_gpt":0.2130928856738225,"score_spread":0.2061020891671444,"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."}}