{"id":"W4205987915","doi":"10.3390/app12031051","title":"Semantic Segmentation Based on Depth Background Blur","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Segmentation; Pascal (unit); Artificial intelligence; Convolutional neural network; Inference; Pattern recognition (psychology); Fuzzy inference system; Focus (optics); Image segmentation; Fuzzy logic; Adaptive neuro fuzzy inference system; Fuzzy control system","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":[0.0006181399,0.001167852,0.0009881604,0.002294485,0.0005188141,0.001334589,0.00108166,0.001088005,0.002079214],"category_scores_gemma":[0.001433091,0.0004644762,0.0008698492,0.001357706,0.0006998242,0.002133973,0.001291488,0.0008883817,0.0006729061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018394,"about_ca_system_score_gemma":0.001128833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008863761,"about_ca_topic_score_gemma":0.01148688,"domain_scores_codex":[0.9994262,0.00004387561,0.0000219683,0.0002249592,0.0001570073,0.0001260459],"domain_scores_gemma":[0.9996156,0.00006815978,0.00005690126,0.00008631962,0.0001261904,0.00004679066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001358664,0.000257141,0.005163223,0.0004458861,0.0002097557,0.0003563431,0.000327311,0.1363607,0.2034795,0.01201173,0.007220735,0.632809],"study_design_scores_gemma":[0.00002446471,0.0001241152,0.004758351,0.00002770431,0.00006912473,0.0002112195,0.00007403578,0.9038604,0.08181355,0.005285579,0.003713944,0.00003749848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2245973,0.001587865,0.7553539,0.0003290693,0.0002080926,0.0002025491,0.001164743,0.007730541,0.008825954],"genre_scores_gemma":[0.7765235,0.0006612091,0.2153416,0.0002469118,0.00007724566,0.00006425472,0.003111491,0.0004847408,0.003488989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008863761,"threshold_uncertainty_score":0.01762432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967018903237247,"score_gpt":0.2926895184385241,"score_spread":0.2530193294061516,"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."}}