{"id":"W4408606540","doi":"10.5006/mp2008_47_7-116","title":"Results of the 2008 NACE International Corrosion Career Survey","year":2008,"lang":"en","type":"article","venue":"Materials performance","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corrosion; Metallurgy; Engineering; Materials science; Forensic engineering; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003057684,0.0002144714,0.0002014877,0.001749403,0.0006834578,0.000640101,0.0003834279,0.0004095044,0.003501623],"category_scores_gemma":[0.008513569,0.0001619,0.0002650576,0.001553564,0.0001379997,0.0003205961,0.0006166697,0.0005073064,0.002296429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208378,"about_ca_system_score_gemma":0.002656831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1463362,"about_ca_topic_score_gemma":0.3028984,"domain_scores_codex":[0.9980326,0.000342376,0.0001543457,0.0001333881,0.0009083866,0.0004288759],"domain_scores_gemma":[0.988766,0.000745667,0.001609055,0.0002655263,0.00759152,0.001022179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001379467,0.0002895798,0.9122207,0.00009677697,0.00003778855,0.00004096279,0.0009170921,0.0001485067,0.0001400342,0.0001486491,0.06280965,0.02301232],"study_design_scores_gemma":[0.000003372545,0.00004532125,0.983306,0.00002855885,0.00001042856,0.00002217001,0.001309871,0.00004983902,0.00008371816,0.00001242948,0.01512152,0.0000067449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8809367,0.0005204264,0.0004449287,0.002331346,0.0001095813,0.0002856021,0.07536129,0.00006127916,0.03994888],"genre_scores_gemma":[0.8753568,0.001407145,0.001228976,0.001245117,0.00007823437,0.0005636357,0.07754609,0.00005359619,0.0425204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1463362,"threshold_uncertainty_score":0.2909689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286814856978128,"score_gpt":0.2067340556002829,"score_spread":0.1780525699024701,"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."}}