{"id":"W2885017942","doi":"10.21611/qirt.2018.067","title":"Assessment of Oxide Descaler Functionality in a Steel Hot Strip Mill Using Infrared Video Imaging","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Infrared; Mill; Computer science; Oxide; Materials science; Metallurgy; Optics; Mechanical engineering; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004545898,0.000197034,0.0002345683,0.0004932103,0.00004971234,0.00005326766,0.0004516628,0.00006381503,0.0001737748],"category_scores_gemma":[0.0001132936,0.0001661287,0.0001485,0.0005079389,0.0003199286,0.0004408771,0.00007338107,0.0001987535,0.000001304835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104273,"about_ca_system_score_gemma":0.00005713975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003948108,"about_ca_topic_score_gemma":0.0000107956,"domain_scores_codex":[0.9985139,0.00002481285,0.0005196388,0.0002181621,0.0005531011,0.0001704337],"domain_scores_gemma":[0.9985035,0.00005736921,0.0002921915,0.0001244928,0.0009819096,0.00004052702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001564825,0.0001494289,0.05968809,0.00007178366,0.00016224,2.014619e-7,0.0006526168,0.0001265532,0.7240738,0.2131485,0.001433078,0.0003371444],"study_design_scores_gemma":[0.00123303,0.0002433325,0.5748581,0.001292533,0.00004640498,0.000003303424,0.001787303,0.1380109,0.2320265,0.04893257,0.001072342,0.0004936577],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9079807,0.00003963963,0.006622224,0.0001084186,0.0003861461,0.0003987454,0.00008864571,0.0001075889,0.08426791],"genre_scores_gemma":[0.9905285,0.00002926989,0.00918941,0.0001075269,0.00003277395,0.0000315866,0.000005879694,0.00002145864,0.00005355896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.51517,"threshold_uncertainty_score":0.677453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06462084054497369,"score_gpt":0.3149399014611066,"score_spread":0.2503190609161329,"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."}}