{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008890791,0.00008621416,0.00007234271,0.0001203401,0.00008164548,0.00007582681,0.0001880269,0.00001654774,0.000005409962],"category_scores_gemma":[0.00001157461,0.00007581067,0.00003969672,0.00008408883,0.00002173821,0.0001238793,0.00006119166,0.00006664465,5.012395e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000312036,"about_ca_system_score_gemma":0.000002696479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.545227e-7,"about_ca_topic_score_gemma":7.344465e-8,"domain_scores_codex":[0.9994959,0.000001011995,0.0001459503,0.000118311,0.0001431495,0.00009570025],"domain_scores_gemma":[0.9997632,0.00002158466,0.0000517568,0.0000382478,0.0001104834,0.00001471024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005431581,0.00006562524,0.0201008,0.000891738,0.0004999129,4.546187e-7,0.0001977404,0.00194735,0.04192616,0.8390509,0.002453425,0.09281156],"study_design_scores_gemma":[0.003477614,0.0001878638,0.07458609,0.00748186,0.0002813962,0.000003881786,0.007025983,0.130653,0.5116096,0.24372,0.0199948,0.0009779857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8535656,0.0001004772,0.009200148,0.001970947,0.002924412,0.0007880363,0.00004108984,0.0002213894,0.1311879],"genre_scores_gemma":[0.9965616,0.00006481291,0.002617079,0.0000300793,0.00005507901,0.0001243483,0.000003022342,0.000006122324,0.0005378641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5953309,"threshold_uncertainty_score":0.3091469,"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."}}