{"id":"W7125824778","doi":"10.1784/cm2025.1e4","title":"Tomography for rotating equipment","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Condition Monitoring and Asset Management","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Detector; Collimated light; Image stitching; Fourier transform; Image processing; Feature (linguistics); Image resolution; Artifact (error); Identification (biology)","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":[0.0002526305,0.0004647583,0.0003093203,0.0005721963,0.0002928603,0.0008640013,0.0005332312,0.0006308974,0.005876031],"category_scores_gemma":[0.001063968,0.0002526948,0.0002208827,0.000773176,0.0006042122,0.001269848,0.0007203258,0.0006861221,0.001039428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006560101,"about_ca_system_score_gemma":0.0005538244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000643593,"about_ca_topic_score_gemma":0.0005712188,"domain_scores_codex":[0.999754,0.00006408928,0.00001063681,0.00004149865,0.0001089553,0.00002086803],"domain_scores_gemma":[0.9996536,0.0001115679,0.00005929611,0.00007200734,0.00008115793,0.00002239104],"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":[0.0003201555,0.00007139522,0.003048198,0.001015388,0.0000395674,0.002002806,0.0005211243,0.04049633,0.5653707,0.10531,0.01506086,0.2667435],"study_design_scores_gemma":[0.00007613169,0.0006465219,0.00596572,0.0003502425,0.00006037555,0.01042234,0.0004832668,0.4633312,0.3100723,0.02711913,0.1813285,0.0001443577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03370722,0.0047947,0.9350809,0.00137815,0.0003198435,0.0001747196,0.0002860978,0.00160258,0.02265574],"genre_scores_gemma":[0.4090787,0.005787713,0.5733437,0.0003640894,0.0001243862,0.0001674617,0.0003644489,0.0001560656,0.01061351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005876031,"threshold_uncertainty_score":0.01965731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592012785010529,"score_gpt":0.2828994583242388,"score_spread":0.2669793304741335,"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."}}