{"id":"W343278818","doi":"10.1023/a:1017517618191","title":"In situ micro-Raman spectroscopy to investigate pitting corrosion product of 1024 mild steel in phosphate and bicarbonate solutions containing chloride and sulfate ions","year":2001,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; University of Waterloo; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Chloride; Sulfate; Chemistry; Bicarbonate; Raman spectroscopy; Pitting corrosion; Phosphate; Inorganic chemistry; Electrochemistry; Aqueous solution; Rust (programming language); Corrosion; Sodium sulfate; Nuclear chemistry; Sodium; Electrode; 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":[0.000699544,0.000178527,0.000370269,0.0001875222,0.00008929743,0.00005127661,0.0001282731,0.00007587738,0.00001602698],"category_scores_gemma":[0.00006493149,0.0001751555,0.00003588054,0.0003659797,0.00009957286,0.000163189,0.00008815756,0.0003593736,0.000001204532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311672,"about_ca_system_score_gemma":0.0001273177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002041273,"about_ca_topic_score_gemma":0.00003445642,"domain_scores_codex":[0.9983708,0.00002004787,0.0006873389,0.0002945685,0.0002205936,0.0004066576],"domain_scores_gemma":[0.9991977,0.00004603125,0.0003686904,0.0001347614,0.00008709424,0.0001657717],"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":[0.0006810493,0.0000741447,0.002203141,0.00003805826,9.759805e-7,0.00001657177,0.0003804992,0.00004810405,0.9964016,0.00004885208,0.00003823411,0.00006877336],"study_design_scores_gemma":[0.001026919,0.0001609612,0.002991125,0.0002677182,0.00001988222,0.000122203,0.0002639462,0.00002744579,0.9943928,0.000523119,0.00004000722,0.0001639185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985795,0.0003850182,0.0001215346,0.0003991057,0.00007264497,0.0001811489,0.000003415251,0.00001056595,0.0002470529],"genre_scores_gemma":[0.9981961,0.000284445,0.001283475,0.0001050911,0.00007977787,0.00001104667,0.000002767317,0.00001548622,0.00002187316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002008842,"threshold_uncertainty_score":0.7142634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331471714222884,"score_gpt":0.2485279498424368,"score_spread":0.2352132327002079,"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."}}