{"id":"W4232925706","doi":"10.1109/memea.2015.7145160","title":"Table of contents","year":2015,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Istituto Nazionale di Ricerca Metrologica; Masarykova Univerzita; University of Missouri; Xiamen University; Universität Bremen; University College London; Universitat Rovira i Virgili; Sapienza Università di Roma; Shenyang Institute of Automation; Turun Yliopisto; Vysoké Učení Technické v Brně; Chinese Academy of Sciences; ISCTE – Instituto Universitário de Lisboa; University of Sheffield; Istituto Italiano di Tecnologia; University of Tennessee, Knoxville; Politecnico di Torino; Institute of Automation, Chinese Academy of Sciences; Ottawa Hospital Research Institute; University of Chinese Academy of Sciences; Università degli Studi di Cagliari; Università degli Studi Roma Tre; Nazarbayev University; Università degli Studi di Salerno; University of Ottawa; Southeast University; Università degli Studi di Napoli Federico II; Missouri University of Science and Technology; Università della Calabria; Università degli Studi di Padova","keywords":"Table (database); Computer science; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.0000665089,0.00002306786,0.00005586804,0.00002040502,0.000003515834,0.000003456525,0.00001676829,0.00002956967,0.00003420783],"category_scores_gemma":[0.00001358166,0.00001850229,0.00001061154,0.00006282099,0.000002385444,0.00003357563,0.000003160758,0.00002081525,0.0000527027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007369089,"about_ca_system_score_gemma":0.000003028744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009560624,"about_ca_topic_score_gemma":0.000003450245,"domain_scores_codex":[0.9997957,0.000003734169,0.00007860668,0.00002222994,0.00005801368,0.00004176956],"domain_scores_gemma":[0.9998766,0.000004212386,0.00000692952,0.00004921362,0.00003457077,0.00002842696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009815249,0.00006790412,0.007619197,0.0001237887,0.0001559162,0.000007720526,0.0008246808,0.04660069,0.188999,0.005084047,0.7056584,0.04476051],"study_design_scores_gemma":[0.002755566,0.0002612363,0.001034987,0.0000517472,0.00001170854,0.00001589712,0.001077022,0.04053904,0.476666,0.000288883,0.4770181,0.0002797469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6158923,0.0001272848,0.01114611,0.000005999269,0.001789019,0.0001141345,0.000002708343,0.0002405783,0.3706819],"genre_scores_gemma":[0.9986436,5.818426e-7,0.00005420468,0.000003031414,0.00004298644,0.000001305726,3.012917e-7,0.00000376888,0.001250195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3827513,"threshold_uncertainty_score":0.07545013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06158257562144078,"score_gpt":0.2374076158472739,"score_spread":0.1758250402258331,"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."}}