{"id":"W4409484961","doi":"10.5006/c2014-4395","title":"Corrosion Monitoring and Root Cause Identification in High Solids Concentrators","year":2014,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Resolute Forest Products (Canada)","funders":"","keywords":"Corrosion; Root cause analysis; Root cause; Materials science; Identification (biology); Metallurgy; Forensic engineering; Engineering; Reliability 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":[0.0003212782,0.0004216563,0.0004847664,0.000854355,0.0002800323,0.0003917355,0.0005789956,0.0006271091,0.0007902115],"category_scores_gemma":[0.000390121,0.0002527249,0.0002886139,0.0006100083,0.0002106811,0.0003220138,0.0003853479,0.0004466955,0.0002830647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002950362,"about_ca_system_score_gemma":0.000184155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133769,"about_ca_topic_score_gemma":0.001267398,"domain_scores_codex":[0.9995686,0.00005486959,0.00001726776,0.0001099463,0.0002124944,0.00003679511],"domain_scores_gemma":[0.9994625,0.0000802276,0.000153391,0.0000366932,0.0002450508,0.00002208354],"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":[0.000241482,0.00008643512,0.01821556,0.0001408641,0.00002331896,0.0002411251,0.0001396434,0.001606924,0.9524237,0.00006032274,0.0001513351,0.02666933],"study_design_scores_gemma":[0.00001357376,0.0009746046,0.05661006,0.0000160965,0.00003766079,0.0004596857,0.0001914511,0.02108736,0.9197602,0.00008631376,0.0007388094,0.00002434385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842432,0.0002696765,0.01418155,0.00002940272,0.000007316557,0.00003259669,0.0001185664,0.0003156469,0.0008021999],"genre_scores_gemma":[0.9926272,0.0001139757,0.006230675,0.000008764043,0.000003124513,0.000009096127,0.00008086642,0.00001350429,0.0009129234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001133769,"threshold_uncertainty_score":0.002643526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01120726418587127,"score_gpt":0.2410140148220294,"score_spread":0.2298067506361582,"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."}}