{"id":"W3138212374","doi":"10.1049/ipr2.12180","title":"Scale space Radon transform","year":2021,"lang":"en","type":"article","venue":"IET Image Processing","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Scale (ratio); Radon; Space (punctuation); Radon transform; Computer science; Scale space; Remote sensing; Artificial intelligence; Geology; Physics; Cartography; Geography; Image processing; Image (mathematics)","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":[0.0001733758,0.0001222102,0.0001333673,0.00007535855,0.0002182413,0.0005952701,0.0003327606,0.00005544503,0.00002694398],"category_scores_gemma":[0.00002482348,0.0001055864,0.0000699116,0.0005987669,0.00004302072,0.001550309,0.00008155038,0.0001690332,0.00003903688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003957841,"about_ca_system_score_gemma":0.0001579177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001009059,"about_ca_topic_score_gemma":0.000007422776,"domain_scores_codex":[0.9989799,0.00003054002,0.0001611476,0.0003464749,0.0002147163,0.0002672227],"domain_scores_gemma":[0.9993571,0.00001507127,0.00004977179,0.0003063308,0.0002078146,0.00006392108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002343066,0.00003495015,0.00001015853,0.00006279945,0.000002460092,0.00007407372,0.0006898121,3.308831e-7,0.07667619,0.00003506307,0.000694323,0.9217175],"study_design_scores_gemma":[0.0001457033,0.00002264219,0.00005888646,0.00005419182,0.000004502866,0.0001502373,0.00009309102,0.002655998,0.9835323,0.00385316,0.009261927,0.0001673745],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009081572,0.000554026,0.9761869,0.002768952,0.0001276201,0.00006970083,7.08952e-7,0.0007369207,0.01864696],"genre_scores_gemma":[0.4510814,0.00006667937,0.5449133,0.0009310111,0.0001420172,0.00002271203,0.000002089717,0.00002268065,0.002818167],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9215501,"threshold_uncertainty_score":0.5740203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006679852167895532,"score_gpt":0.2461801784809828,"score_spread":0.2395003263130873,"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."}}