{"id":"W2787487286","doi":"10.1149/ma2018-01/36/2121","title":"FTIR Spectroelectrochemistry: Optimization of Experimental Setup","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruker (Canada)","funders":"","keywords":"Potentiostat; Attenuated total reflection; Electrolyte; Electrode; Absorbance; Fourier transform infrared spectroscopy; Analytical Chemistry (journal); Reflection (computer programming); Electrochemistry; Materials science; Chemistry; Absorption spectroscopy; Infrared spectroscopy; Spectrometer; Spectroscopy; Chemical engineering; Optics; Physical chemistry; Organic chemistry; Computer science; Chromatography","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":[0.003024401,0.002440823,0.001484757,0.001175139,0.001032226,0.0006035675,0.002397009,0.001874947,0.01165962],"category_scores_gemma":[0.001947444,0.00119033,0.0006275412,0.001534637,0.0003955007,0.001134533,0.0008930809,0.002139912,0.007901174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00060822,"about_ca_system_score_gemma":0.001071334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075084,"about_ca_topic_score_gemma":0.00226251,"domain_scores_codex":[0.9967802,0.0006296629,0.0002476771,0.0009239229,0.001176898,0.0002417469],"domain_scores_gemma":[0.9989767,0.0002253097,0.0001115906,0.0001609288,0.0004648835,0.00006057308],"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":[0.0001953711,0.0001483092,0.0001874647,0.0006333751,0.00002454457,0.00007868551,0.0000809656,0.0005853027,0.9800458,0.0003722412,0.001798719,0.01584917],"study_design_scores_gemma":[0.00003472421,0.0001947749,0.001026022,0.00005907069,0.00003910326,0.0002585989,0.00005493967,0.002747678,0.9689475,0.0001665958,0.02641865,0.00005224512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1509948,0.006566314,0.7965309,0.001609256,0.0007784257,0.004965285,0.01120285,0.009927915,0.01742419],"genre_scores_gemma":[0.1019254,0.00791372,0.8626405,0.0006970206,0.0001647261,0.00628474,0.006910903,0.001540977,0.01192197],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01165962,"threshold_uncertainty_score":0.03900534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008486953620831838,"score_gpt":0.2469389242106803,"score_spread":0.2384519705898485,"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."}}