{"id":"W4256292777","doi":"10.1109/tcsvt.2019.2940862","title":"IEEE Transactions on Circuits and Systems for Video Technology publication information","year":2019,"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":"York University","funders":"","keywords":"Computer science; Electronic circuit; Multimedia; Engineering; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007350879,0.0007979551,0.001033703,0.001484801,0.0005184937,0.002408505,0.0007224355,0.00156019,0.221926],"category_scores_gemma":[0.001792659,0.0002959523,0.0004490474,0.001363709,0.0003470512,0.001475697,0.0007027565,0.001227643,0.06607667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000651033,"about_ca_system_score_gemma":0.001164115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002117517,"about_ca_topic_score_gemma":0.004113305,"domain_scores_codex":[0.9992867,0.00006170567,0.00004760984,0.00008454468,0.0004583611,0.00006101634],"domain_scores_gemma":[0.9984559,0.0002553447,0.00005673057,0.0002040501,0.0009522793,0.00007561606],"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":[0.0002159909,0.0001477206,0.0005855802,0.000400203,0.00004362552,0.000114426,0.00003806261,0.002702756,0.007866295,0.01875406,0.4159789,0.5531523],"study_design_scores_gemma":[0.00005794854,0.0001936703,0.002391604,0.000256379,0.0001084388,0.0004523527,0.00006518437,0.03951647,0.01157854,0.01489667,0.9304413,0.00004150632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01282952,0.0381674,0.3662372,0.01146692,0.05850123,0.0006152361,0.007284984,0.006045257,0.4988523],"genre_scores_gemma":[0.06803561,0.02140662,0.03806307,0.001591635,0.004948467,0.0001940662,0.009380571,0.0007803299,0.8555995],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.778074,"threshold_uncertainty_score":0.7424163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951575535576111,"score_gpt":0.2310904835398625,"score_spread":0.2115747281841014,"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."}}