{"id":"W2936330814","doi":"","title":"Troubleshooting Fouling with a Deposit's Color, Texture, Location","year":2019,"lang":"en","type":"article","venue":"2019 Spring Meeting and 15th Global Congress on Process Safety","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nalco (Canada)","funders":"","keywords":"Troubleshooting; Texture (cosmology); Fouling; Artificial intelligence; Computer vision; Computer science; Geology; Chemistry; Image (mathematics)","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":[0.0009573399,0.0009202938,0.0007881607,0.00152883,0.0009225867,0.0009103791,0.001006017,0.0007797758,0.009660203],"category_scores_gemma":[0.004915035,0.0003698884,0.0004690617,0.0006028487,0.0003334389,0.0009505547,0.001188058,0.0006108755,0.005153182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003484481,"about_ca_system_score_gemma":0.0006474674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002932394,"about_ca_topic_score_gemma":0.005773668,"domain_scores_codex":[0.9988581,0.00009236411,0.0001056013,0.0001401377,0.0007092369,0.00009462301],"domain_scores_gemma":[0.9967463,0.0007212752,0.000328921,0.0008208304,0.001166863,0.0002158644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001829161,0.0002813366,0.04619446,0.0008668237,0.0001063652,0.002823029,0.001300551,0.005078803,0.3963323,0.0004669494,0.04116698,0.5035533],"study_design_scores_gemma":[0.0001010039,0.000784658,0.0356162,0.00024091,0.0002817717,0.003997036,0.001938928,0.07044201,0.7661771,0.001258419,0.1189645,0.0001975101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7013099,0.001353,0.215182,0.002188454,0.001400693,0.0008540371,0.002974751,0.0492154,0.0255218],"genre_scores_gemma":[0.840421,0.0004923879,0.1288324,0.0004993138,0.0001266485,0.0001186367,0.001239315,0.003068149,0.02520217],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009660203,"threshold_uncertainty_score":0.03231663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002604785736607215,"score_gpt":0.1979668777483157,"score_spread":0.1953620920117085,"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."}}