{"id":"W2024614875","doi":"10.1016/j.jelechem.2003.08.007","title":"A quantitative evaluation of the adsorption of citrate on Au(111) using SNIFTIRS","year":2003,"lang":"en","type":"article","venue":"Journal of Electroanalytical Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Royal Society","keywords":"Chemistry; Citric acid; Adsorption; Carboxylate; Limiting; Inorganic chemistry; Infrared spectroscopy; Carboxylic acid; Analytical Chemistry (journal); Physical chemistry; Stereochemistry; Chromatography; Organic 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":[0.0008516506,0.0001529431,0.0003933718,0.00004054428,0.00005024213,0.00001031965,0.0002689389,0.0001293249,0.0003769867],"category_scores_gemma":[0.0008557045,0.0001068097,0.0004582838,0.0004938754,0.0001392564,0.00005047637,0.00001393459,0.0004613973,0.000001030515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002830126,"about_ca_system_score_gemma":0.0005796882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005758017,"about_ca_topic_score_gemma":0.000001859781,"domain_scores_codex":[0.9978159,0.00006524881,0.0008193931,0.0001653908,0.0009070314,0.0002270137],"domain_scores_gemma":[0.9976656,0.0001943664,0.001019742,0.0002856367,0.0007431172,0.00009146389],"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":[0.00008810478,0.0002576785,0.0002693675,0.00006522359,0.0002711955,2.687125e-7,0.00002698476,0.001046211,0.9959775,0.001887872,0.00002728213,0.00008235584],"study_design_scores_gemma":[0.0004632698,0.000063653,0.0000494586,0.0001193815,0.0009974809,0.00002870791,0.00009458642,0.0118926,0.9808814,0.005267586,0.00004441467,0.00009747243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887162,0.0002285386,0.0003918526,0.0001157421,0.000008754833,0.00003717923,0.000004576943,0.000002744201,0.01049436],"genre_scores_gemma":[0.9994057,0.00001781401,0.000354017,0.00001611833,0.00006262756,0.000002325819,0.000002654231,0.0000117155,0.0001270439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01509606,"threshold_uncertainty_score":0.4355572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04663479136384412,"score_gpt":0.3236615513517525,"score_spread":0.2770267599879084,"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."}}