{"id":"W4318211862","doi":"10.1109/tip.2022.3232009","title":"IEEE Transactions on Image Processing publication information","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Engineering, Michigan State University; Centre National de la Recherche Scientifique; Chinese Academy of Sciences; Academia Sinica; École Polytechnique Fédérale de Lausanne; Politecnico di Torino; Institut national de recherche en informatique et en automatique (INRIA); Universidad Nacional de Colombia; Université Catholique de Louvain; Google; Arizona State University; McMaster University; Johns Hopkins University","keywords":"Computer science; Image processing; Document image processing; Transaction processing; Computer vision; Information retrieval; Information processing; Image (mathematics); Computer graphics (images); Artificial intelligence; Image segmentation; Database; Database transaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006859106,0.00127307,0.001053217,0.00259656,0.000551375,0.002741974,0.001028524,0.001802901,0.2459897],"category_scores_gemma":[0.002376826,0.0003611713,0.0006496802,0.001997605,0.0004005817,0.002008832,0.001204148,0.001470113,0.1846284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004221685,"about_ca_system_score_gemma":0.001268985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001614785,"about_ca_topic_score_gemma":0.002452789,"domain_scores_codex":[0.9992698,0.00004864313,0.00005675625,0.0001087997,0.000451466,0.00006459816],"domain_scores_gemma":[0.9988112,0.0001163809,0.00004226385,0.0001924998,0.0007484814,0.0000891843],"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":[0.0001237652,0.00007967627,0.000271009,0.0003597458,0.00003259518,0.0001483256,0.0000204252,0.0006671912,0.005786004,0.004197663,0.5420212,0.4462924],"study_design_scores_gemma":[0.00003330855,0.00006523295,0.001230102,0.0001794787,0.00004543955,0.0006923898,0.0000448328,0.01301269,0.003692355,0.006908373,0.974058,0.00003772025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00787845,0.05842284,0.3472175,0.01191675,0.04038154,0.001023765,0.01925812,0.01469904,0.499202],"genre_scores_gemma":[0.04364095,0.04424212,0.1179865,0.003710262,0.008433596,0.000517451,0.04076905,0.001875331,0.7388248],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7540103,"threshold_uncertainty_score":0.8229176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560890400085701,"score_gpt":0.2406192100408223,"score_spread":0.2250103060399653,"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."}}