{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003083785,0.0003049981,0.0003111762,0.00004842141,0.0001341483,0.0001096458,0.000171407,0.0001469802,0.000003661802],"category_scores_gemma":[0.0001060076,0.0002593877,0.00003609953,0.0002814662,0.00004183362,0.0001368267,0.00004041125,0.0002910752,0.00002517436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001251579,"about_ca_system_score_gemma":0.00003745799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009944294,"about_ca_topic_score_gemma":0.00004539191,"domain_scores_codex":[0.9985593,0.00001928264,0.0003102021,0.0004126332,0.0002701425,0.0004284291],"domain_scores_gemma":[0.9992291,0.0001409643,0.00007692822,0.0002652111,0.0001509524,0.0001368304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009380633,0.00002961845,0.1402673,0.0009825705,0.00005925667,0.000006084903,0.00005712813,0.8550051,0.0001453816,0.001179813,0.00002028053,0.002153709],"study_design_scores_gemma":[0.003792296,0.0005956406,0.1568195,0.006771277,0.0001791813,0.00006067488,0.0003246862,0.8194464,0.006499978,0.0002386361,0.003319241,0.001952426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839571,0.001420607,0.003835054,0.00004613549,0.0008183552,0.0004052432,0.00001308621,0.0005349622,0.008969481],"genre_scores_gemma":[0.9984969,0.0001655952,0.001112607,0.00003988946,0.00007631214,0.00001639468,0.00000735518,0.00004383851,0.00004111393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03555867,"threshold_uncertainty_score":0.9999858,"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."}}