{"id":"W4409500271","doi":"10.5006/c2024-20850","title":"Advanced Crack Inspection Technology for Coke Drums","year":2024,"lang":"en","type":"article","venue":"","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Suncor Energy (Canada)","funders":"","keywords":"Coke; Computer science; Engineering; Forensic engineering; Waste management","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":[0.0003831844,0.0003457272,0.0002922113,0.001165811,0.0004614453,0.0005159323,0.0006649205,0.0007755199,0.002952697],"category_scores_gemma":[0.0006088092,0.0003366485,0.0001830902,0.0004253129,0.0003139359,0.0008156395,0.0006144611,0.0005936598,0.001248718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004715979,"about_ca_system_score_gemma":0.0004077268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460324,"about_ca_topic_score_gemma":0.00319126,"domain_scores_codex":[0.9993542,0.00004831288,0.00001957343,0.0001859648,0.0003381251,0.00005392282],"domain_scores_gemma":[0.9989896,0.0001288498,0.00007784479,0.0001150313,0.0006133066,0.00007522143],"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":[0.0001560271,0.00006382971,0.001917147,0.0001515453,0.000006022256,0.0002120496,0.0002031854,0.001606776,0.9015782,0.000919356,0.001332459,0.09185344],"study_design_scores_gemma":[0.00004088467,0.001138927,0.02390144,0.00008729177,0.00002954759,0.00147814,0.0002759827,0.06628335,0.8709173,0.0006645538,0.03508029,0.0001022325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4843526,0.001595527,0.4928933,0.0003807514,0.000215503,0.0003656351,0.0003997851,0.003746869,0.01605004],"genre_scores_gemma":[0.7625323,0.0003010253,0.2218312,0.00007839694,0.00002438641,0.0001172852,0.0001834096,0.00006225637,0.01486971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002952697,"threshold_uncertainty_score":0.009877741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109877217276085,"score_gpt":0.3162800788806129,"score_spread":0.295181306707852,"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."}}