{"id":"W2804843768","doi":"10.31390/gradschool_dissertations.4569","title":"Workflows For X-ray And Neutron Interferometry/Tomography As Applied To Additive Manufacturing","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Interferometry; Workflow; X-ray; Tomography; Materials science; Computer science; Medical physics; Optics; Mechanical engineering; Nuclear engineering; Engineering drawing; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007275771,0.0004262643,0.000418325,0.0004050575,0.0001307202,0.000104504,0.0002424167,0.0001093352,0.0004072174],"category_scores_gemma":[0.000004859948,0.0004149247,0.0001442031,0.0001440719,0.00003432419,0.0001112726,0.00006119115,0.0002336179,0.00003892267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002663247,"about_ca_system_score_gemma":0.00002303512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003911798,"about_ca_topic_score_gemma":0.00001700547,"domain_scores_codex":[0.9985874,0.000009166098,0.000274689,0.0006337123,0.0001294346,0.0003655966],"domain_scores_gemma":[0.9992073,0.00008706708,0.0001698998,0.0003122183,0.0000929607,0.0001305424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001181039,0.0002664628,0.0003383317,0.0002905357,0.0009529911,0.000001777751,0.002681529,0.00001153024,0.01196281,0.02443955,0.03235963,0.9255138],"study_design_scores_gemma":[0.0008491233,0.0005034364,0.002679693,0.0005182216,0.0002289815,4.613378e-7,0.003649146,0.00002188773,0.8147193,0.06669498,0.1085575,0.00157729],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4847216,0.0000742309,0.312479,0.00008628691,0.0009830183,0.005283139,0.0005152845,0.000865694,0.1949917],"genre_scores_gemma":[0.8694708,0.000003714227,0.1201376,0.0001213971,0.0005950555,0.001257058,0.001879977,0.0001239251,0.006410495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9239365,"threshold_uncertainty_score":0.9998302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006219971033932028,"score_gpt":0.2791850934092306,"score_spread":0.2729651223752986,"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."}}