{"id":"W2084524162","doi":"10.1016/j.electacta.2007.11.051","title":"Optimization of electrochemical infrared reflection absorption spectroscopy using Fresnel equations","year":2007,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"National Research Council Canada","keywords":"Refractive index; Optics; Materials science; Fresnel equations; Electrolyte; Infrared; Electrode; Angle of incidence (optics); Electric field; Reflection (computer programming); Phase (matter); Absorption spectroscopy; Absorption (acoustics); Spectroscopy; Attenuation coefficient; Analytical Chemistry (journal); Chemistry; Optoelectronics; Physics","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":[0.001705016,0.001273673,0.001285398,0.0005945734,0.0003540286,0.001022063,0.001133022,0.0007194096,0.001757707],"category_scores_gemma":[0.002418399,0.0006178006,0.0007622641,0.000808285,0.0003179071,0.001084477,0.000499636,0.001085708,0.0009825685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009777471,"about_ca_system_score_gemma":0.001123612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00170508,"about_ca_topic_score_gemma":0.002973884,"domain_scores_codex":[0.9989271,0.0002037389,0.00007372216,0.0001932325,0.0005191662,0.0000830323],"domain_scores_gemma":[0.9991635,0.0003736776,0.00007515329,0.00008026467,0.0002878061,0.00001958401],"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":[0.0002534094,0.0003041243,0.0004714126,0.0004421572,0.000057577,0.00007533387,0.0001034501,0.01741701,0.8854433,0.004419684,0.000828933,0.09018363],"study_design_scores_gemma":[0.00005526726,0.0001770221,0.0005818958,0.00001293198,0.00004629662,0.00008359548,0.00003100115,0.09492534,0.9000885,0.0003992669,0.00356109,0.0000377424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2074841,0.001678155,0.7823966,0.0004610637,0.0001466504,0.0003647226,0.0002986739,0.00181475,0.005355178],"genre_scores_gemma":[0.3057975,0.001642094,0.6882177,0.0001102381,0.00003381956,0.0003358257,0.0002426264,0.0002670676,0.003353031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001757707,"threshold_uncertainty_score":0.00901711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595141568244769,"score_gpt":0.2816026965031959,"score_spread":0.2656512808207482,"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."}}