{"id":"W2035573524","doi":"10.1016/j.jelechem.2014.03.002","title":"Local flux of hydrogen from magnesium alloy corrosion investigated by scanning electrochemical microscopy","year":2014,"lang":"en","type":"article","venue":"Journal of Electroanalytical Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Brockhouse Institute for Materials Research; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scanning electrochemical microscopy; Chemistry; Corrosion; Electrochemistry; Microelectrode; Magnesium; Magnesium alloy; Microscopy; Immersion (mathematics); Flux (metallurgy); Platinum; Alloy; Analytical Chemistry (journal); Chemical engineering; Inorganic chemistry; Electrode; Optics; Physical chemistry; Catalysis; Chromatography","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":[0.0002015212,0.0001741706,0.0002781916,0.0002691025,0.0002696675,0.0003516593,0.000471359,0.0005094869,0.001226433],"category_scores_gemma":[0.0002301044,0.0001511157,0.0001597067,0.0001927517,0.0003374847,0.0003299318,0.0002032521,0.0004527355,0.0002453491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004528765,"about_ca_system_score_gemma":0.0001496765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547393,"about_ca_topic_score_gemma":0.001985324,"domain_scores_codex":[0.9998882,0.00001088439,0.000003526634,0.00001838689,0.00005844026,0.00002058959],"domain_scores_gemma":[0.9999042,0.00002918964,0.00001428983,0.000009008667,0.00003557469,0.00000782585],"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":[0.000136779,0.00001058923,0.0005208009,0.00005341787,0.000006800698,0.0001256508,0.00005819501,0.0000631549,0.9957005,0.000223803,0.0001123219,0.002987996],"study_design_scores_gemma":[0.000009393128,0.00008690195,0.005168752,0.000003903793,0.000008955595,0.0001580194,0.00007001132,0.001470941,0.9920068,0.00006051322,0.0009510439,0.000004790271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917439,0.0008371445,0.004061953,0.0001476899,0.00002569343,0.00001415439,0.0002343892,0.00007528401,0.002859854],"genre_scores_gemma":[0.9966877,0.0002802443,0.001361873,0.00003133765,0.00001297161,0.00000875414,0.0001282346,0.00001341386,0.001475539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001547393,"threshold_uncertainty_score":0.004102826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004350193537595814,"score_gpt":0.2211411109322252,"score_spread":0.2167909173946294,"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."}}