{"id":"W1576680660","doi":"10.1002/9781118370940.ch7","title":"Corrosion of Industrial Refractories","year":2006,"lang":"en","type":"other","venue":"Ceramic transactions /Ceramic transactions","topic":"Material Properties and Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Materials science; Corrosion; Metallurgy; Forensic engineering; Engineering","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":[0.000507911,0.0004301163,0.0004635805,0.000308331,0.0003409315,0.0007443393,0.0009851116,0.0005637162,0.006388451],"category_scores_gemma":[0.0009204443,0.0002281929,0.0004405796,0.0002841162,0.0002410863,0.0006984437,0.0005143912,0.0009143932,0.002669772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009548973,"about_ca_system_score_gemma":0.000378429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004311325,"about_ca_topic_score_gemma":0.004711705,"domain_scores_codex":[0.9986196,0.0000939977,0.00004087927,0.0001562593,0.0009399147,0.000149548],"domain_scores_gemma":[0.9996918,0.00004270743,0.00003021352,0.0000509535,0.0001715522,0.00001260072],"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":[0.0002620412,0.00007434449,0.001361956,0.000517844,0.00002513314,0.00022843,0.0002686522,0.0008641626,0.9191095,0.001614051,0.004112407,0.07156142],"study_design_scores_gemma":[0.000009556775,0.0003561827,0.005544079,0.00003924377,0.00001953084,0.0003138919,0.0001906804,0.001723634,0.9617198,0.0001847337,0.02988428,0.00001453352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8501064,0.01784632,0.02400502,0.00155117,0.0005501212,0.0002234536,0.0009360586,0.0009956997,0.1037859],"genre_scores_gemma":[0.9177385,0.007122633,0.007543694,0.0002783742,0.00007981566,0.00003412373,0.0008169718,0.0001822045,0.06620362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006388451,"threshold_uncertainty_score":0.02137148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106811842511726,"score_gpt":0.2351444689677187,"score_spread":0.2140763505426014,"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."}}