{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00225671,0.001222697,0.001122013,0.002219268,0.0009569748,0.00194299,0.002826059,0.0008816272,0.01760559],"category_scores_gemma":[0.003564387,0.0007044526,0.0006197114,0.001816868,0.0009594812,0.00244568,0.001531849,0.001182707,0.01013506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907365,"about_ca_system_score_gemma":0.001085875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00276621,"about_ca_topic_score_gemma":0.004378874,"domain_scores_codex":[0.9962549,0.0001944981,0.0000901296,0.0004447951,0.002854018,0.0001615909],"domain_scores_gemma":[0.9965218,0.0006572093,0.0002234566,0.0008043773,0.001685487,0.0001077258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001220661,0.0002461319,0.002293741,0.0005098298,0.00005632631,0.0001154819,0.0003582923,0.008557774,0.5905296,0.009718856,0.01447591,0.3719175],"study_design_scores_gemma":[0.00001896197,0.0006217045,0.005011376,0.00003516778,0.00005518536,0.000266217,0.0001576888,0.02777661,0.9279185,0.001883369,0.03612512,0.0001301533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.162867,0.005348657,0.6721317,0.0005654836,0.001022858,0.001151881,0.006256197,0.009858264,0.1407979],"genre_scores_gemma":[0.4991183,0.00274914,0.2265524,0.0003595797,0.0002204488,0.0007732326,0.007634633,0.002891304,0.2597009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01760559,"threshold_uncertainty_score":0.0588966,"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."}}