{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001743217,0.000687612,0.0009034593,0.0005158521,0.000455688,0.000145536,0.0005904287,0.001031826,0.02152966],"category_scores_gemma":[0.000006256889,0.0006687773,0.0004146404,0.000572009,0.0005465999,0.0002323215,0.000007636471,0.0007182852,0.0003582719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002155726,"about_ca_system_score_gemma":0.0003101748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008170038,"about_ca_topic_score_gemma":0.002647881,"domain_scores_codex":[0.9967971,0.0001502709,0.00105522,0.0008651653,0.0005151368,0.0006171144],"domain_scores_gemma":[0.9980435,0.00008646824,0.0005578387,0.001019759,0.0001226848,0.0001697292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003862678,0.00220419,0.00001318314,0.0008615438,0.0002640393,0.00001032913,0.0005937213,0.00538941,0.747099,0.0008711834,0.1980833,0.04422382],"study_design_scores_gemma":[0.001741276,0.0001812048,0.00002499563,0.0005817819,0.0006866919,0.00004533222,0.0002005566,0.0002719584,0.08658618,0.0002623925,0.9082037,0.001213919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003332752,0.0010108,0.8290913,0.000481844,0.00873191,0.002414467,0.008801933,0.002065457,0.1440695],"genre_scores_gemma":[0.5216648,0.0006570753,0.001965536,0.00005352861,0.0008928444,0.0003854696,0.0004346446,0.0009090354,0.4730371],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8271258,"threshold_uncertainty_score":0.9995763,"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."}}