{"id":"W2793939440","doi":"10.1109/itsc.2017.8317600","title":"Convolutional gated recurrent networks for video semantic segmentation in automated driving","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Segmentation; Artificial intelligence; Leverage (statistics); Image segmentation; Computer vision; Convolutional neural network; Pattern recognition (psychology); Embedding","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":[],"consensus_categories":[],"category_scores_codex":[0.0001589945,0.0001016503,0.0001153349,0.00005533923,0.000402512,0.0001683043,0.0006372743,0.00003594171,0.000006154154],"category_scores_gemma":[0.00005896542,0.00009989391,0.00003462008,0.0001482621,0.00004313641,0.0006292088,0.0001766939,0.00008022728,0.00001341578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007679202,"about_ca_system_score_gemma":0.00002803719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001354587,"about_ca_topic_score_gemma":0.0001297996,"domain_scores_codex":[0.9990274,0.00002409939,0.0002348855,0.0003378717,0.0001138457,0.0002619064],"domain_scores_gemma":[0.9990118,0.0001588517,0.0001847173,0.0005145825,0.00007452386,0.00005557301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005145743,0.0004393482,0.03679226,0.00005722739,0.0000610275,0.00001498823,0.0002842877,0.3311281,0.007135367,0.4200488,0.02683599,0.1771512],"study_design_scores_gemma":[0.0004157204,0.00002186797,0.03039113,0.0000277021,0.0000024284,0.000003597906,0.000003241631,0.9647622,0.0003893735,0.003305337,0.0005595554,0.0001178757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01351521,0.00003470844,0.9837399,0.001156912,0.0003067766,0.0005653172,0.000001170842,0.0004631665,0.0002168979],"genre_scores_gemma":[0.8912518,0.000012117,0.1082518,0.0001601974,0.00005768594,0.0001412073,0.00001668971,0.000007574427,0.0001009975],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8777366,"threshold_uncertainty_score":0.4073555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659198054418639,"score_gpt":0.3197368887292764,"score_spread":0.29314490818509,"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."}}