{"id":"W192190073","doi":"10.1007/978-0-387-36594-7_48","title":"Batch Roundness Characterization and Evaluation","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Roundness (object); Batch processing; Feature (linguistics); Algorithm; Computer science; Measure (data warehouse); Approximation error; Mathematics; Data mining; Geometry","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":[0.0002811743,0.0001605488,0.0001488967,0.0001375991,0.00002099454,0.00001025322,0.00003477306,0.0002653936,0.0003058196],"category_scores_gemma":[0.000004939047,0.0001633504,0.00002132672,0.00001223687,0.00001958181,0.00009874283,0.00000935729,0.0001377301,0.00001320354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008249513,"about_ca_system_score_gemma":0.000008149275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.971254e-7,"about_ca_topic_score_gemma":0.000007978791,"domain_scores_codex":[0.9994381,0.000003058357,0.0001491312,0.0001308444,0.0001793136,0.00009952411],"domain_scores_gemma":[0.9997293,0.000009703309,0.00003348001,0.0001113338,0.00008628857,0.00002987613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001454364,0.00000570055,0.00008920185,0.000127883,0.0001097354,0.000003299961,0.00005737279,0.00003864484,0.0288682,0.06378937,0.0006447713,0.9062513],"study_design_scores_gemma":[0.0004706649,0.00007215502,0.001145453,0.0001493769,0.0002410641,0.00001062135,0.000004248085,0.004867371,0.008098648,0.02003596,0.9641169,0.0007875024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005517193,0.0004317853,0.2553679,0.00001356592,0.0002744753,0.000334458,0.000004081468,0.0005302854,0.7424917],"genre_scores_gemma":[0.05985686,0.002640166,0.007233653,0.0002184071,0.0006769506,0.00007618158,0.001071054,0.0002448226,0.9279819],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9634722,"threshold_uncertainty_score":0.6661236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05663569260078527,"score_gpt":0.2800179398893373,"score_spread":0.223382247288552,"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."}}