{"id":"W4252399243","doi":"10.1109/tcsvt.2018.2833172","title":"IEEE Transactions on Circuits and Systems for Video Technology publication information","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems for Video Technology","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; York University","funders":"","keywords":"Computer science; Electronic circuit; Multimedia; Electrical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006340877,0.0004861095,0.0007360112,0.002487052,0.0008997737,0.0003040256,0.0002425812,0.001203983,0.000009295963],"category_scores_gemma":[0.00005288173,0.000485349,0.0001580285,0.001202719,0.0002302004,0.0007269644,0.000001133538,0.0005625637,0.00005637182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002842329,"about_ca_system_score_gemma":0.00005878732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001114172,"about_ca_topic_score_gemma":0.00005895678,"domain_scores_codex":[0.9972544,0.00005991043,0.001139512,0.0005943961,0.000289908,0.0006618764],"domain_scores_gemma":[0.9979339,0.0002745688,0.0003012702,0.0006379767,0.0006911593,0.0001611298],"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":[0.0002913434,0.0003581362,0.00003752075,0.003327865,0.001210617,0.000004910185,0.001182559,0.03049939,0.05211711,0.01206733,0.007434411,0.8914688],"study_design_scores_gemma":[0.01094644,0.007890646,0.00003315206,0.001788547,0.0006692426,0.001696008,0.005272032,0.3753352,0.193425,0.001276177,0.3988518,0.002815754],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03951486,0.0005269671,0.9473712,0.0002570739,0.006175086,0.003669384,0.0004774933,0.001695778,0.0003121416],"genre_scores_gemma":[0.9960022,0.0001385539,0.0000422497,0.0000607813,0.0002466823,0.003171045,0.00001100164,0.00008654263,0.0002409507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9564874,"threshold_uncertainty_score":0.9997598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458374953077947,"score_gpt":0.2433630229134183,"score_spread":0.2187792733826388,"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."}}