{"id":"W4245145885","doi":"10.1149/ma2008-02/49/3055","title":"Application of the Electrochemical Quartz Crystal Microbalance for the Investigation of Metal Depositions from Ionic Liquids","year":2008,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Quartz crystal microbalance; Electrochemistry; Materials science; Metal; Ionic liquid; Quartz; Ionic bonding; Chemical engineering; Crystal (programming language); Inorganic chemistry; Electrode; Chemistry; Ion; Metallurgy; Adsorption; Organic chemistry; Physical chemistry; Catalysis","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":[0.0005706417,0.0003735192,0.000317046,0.0007344608,0.0004107769,0.0004604913,0.0006644878,0.0007045305,0.002183115],"category_scores_gemma":[0.0008524391,0.0003081565,0.0002238556,0.0003546621,0.000388302,0.0003701785,0.0002402293,0.0007055898,0.0005656371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003557809,"about_ca_system_score_gemma":0.0003807374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835746,"about_ca_topic_score_gemma":0.003482701,"domain_scores_codex":[0.999639,0.00005563504,0.00001960937,0.00008356231,0.0001602637,0.00004185264],"domain_scores_gemma":[0.9995023,0.0002805518,0.00003244394,0.00004210162,0.0001108194,0.00003177446],"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":[0.00003488582,0.00001170618,0.0001156671,0.00009559493,0.000006577908,0.00003484612,0.00001481114,0.00003508413,0.9953924,0.0001524683,0.000102792,0.004003178],"study_design_scores_gemma":[0.000004861508,0.00007219416,0.0006940465,0.000004646565,0.000006050227,0.00009475599,0.00001449978,0.0005659977,0.9967224,0.00004189933,0.001772094,0.000006432263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7626258,0.02644464,0.1851872,0.001955413,0.0007690296,0.0004840298,0.002595569,0.001045345,0.01889305],"genre_scores_gemma":[0.9097793,0.007431504,0.07464483,0.0003242569,0.00008377585,0.0001610169,0.000571735,0.00006283325,0.006940857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002183115,"threshold_uncertainty_score":0.007303238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009021244107278498,"score_gpt":0.1923633864469282,"score_spread":0.1833421423396497,"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."}}