{"id":"W350390316","doi":"10.1007/1-4020-5438-6_15","title":"Evaluation of Geometric Deviations in Sculptured Surfaces Using Probability Density Estimation","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Western University","funders":"","keywords":"Computer science; Density estimation; Estimation; Mathematics; Statistics; Engineering","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":[0.001372411,0.0001909475,0.0002579786,0.0006419545,0.00002973312,0.00001796513,0.00006948989,0.0002881858,0.0002756411],"category_scores_gemma":[0.0001525702,0.0001982018,0.00005097583,0.0001776654,0.00002091276,0.0001483582,0.00001750303,0.0001614963,0.000004552202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004636718,"about_ca_system_score_gemma":0.0000827075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006015293,"about_ca_topic_score_gemma":0.0002025816,"domain_scores_codex":[0.9985806,0.00001702461,0.0004596708,0.0001919459,0.0006289083,0.0001218772],"domain_scores_gemma":[0.9990999,0.00005099087,0.0001382567,0.0001921693,0.0004896801,0.00002903089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001862373,0.000008494129,0.00009759727,0.000250335,0.00002313143,1.127016e-7,0.00003385072,0.9849669,0.000008578743,0.001274261,0.000006468112,0.01332842],"study_design_scores_gemma":[0.0001881556,0.00000637866,0.003123649,0.0001384762,0.0001352176,5.794873e-7,0.000001996409,0.9846782,0.002111408,0.009355393,0.00006001924,0.0002005107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06195667,0.001004184,0.6974187,0.000007804578,0.0002583102,0.001491389,0.00001414915,0.0002436279,0.2376051],"genre_scores_gemma":[0.9663287,0.00005493182,0.0320808,0.000004760601,0.00002449615,0.00000659119,0.0001075596,0.00004298935,0.001349178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.904372,"threshold_uncertainty_score":0.8082434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07904259447674536,"score_gpt":0.2811617237008063,"score_spread":0.202119129224061,"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."}}