{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007226663,0.0007875193,0.001031557,0.001448059,0.0005260627,0.002433503,0.0007462338,0.001556556,0.2296426],"category_scores_gemma":[0.002035096,0.0003007769,0.0004395464,0.00135842,0.0003438642,0.001650171,0.0007245975,0.001267677,0.06553717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006600728,"about_ca_system_score_gemma":0.001207676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196568,"about_ca_topic_score_gemma":0.003578287,"domain_scores_codex":[0.9992842,0.00005395012,0.0000493351,0.00008632014,0.0004641827,0.00006202619],"domain_scores_gemma":[0.9983223,0.0002646811,0.00006229123,0.0002235934,0.001043798,0.0000833153],"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":[0.0002308632,0.0001621194,0.0006292113,0.0004013899,0.00004082771,0.0001318597,0.00003980173,0.002907292,0.008635453,0.02075851,0.4201508,0.5459118],"study_design_scores_gemma":[0.00005687274,0.0001898251,0.002474053,0.0002434926,0.0001016687,0.0005237432,0.00006963006,0.04283646,0.01286957,0.01752492,0.9230664,0.00004327265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01360766,0.03315143,0.3655617,0.01218244,0.05912991,0.000596365,0.008135589,0.006498712,0.5011362],"genre_scores_gemma":[0.07555051,0.02080675,0.03776624,0.001585299,0.005271258,0.0001844979,0.01017243,0.0009081473,0.8477548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2296426,"threshold_uncertainty_score":0.7682312,"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."}}