{"id":"W4385831235","doi":"10.1109/itc-cscc58803.2023.10212982","title":"Analysis of Domestic Building Detection Based on the YOLO","year":2023,"lang":"en","type":"article","venue":"","topic":"Automated Road and Building Extraction","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Deep learning; Computer science; Task (project management); Artificial intelligence; Object detection; Satellite; Remote sensing; Machine learning; Pattern recognition (psychology); Geography; Engineering; Systems 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001540098,0.00005343959,0.00008253274,0.0003715535,0.00004194739,0.00001002908,0.00004891096,0.00003640563,0.00009161346],"category_scores_gemma":[0.00003798668,0.000035398,0.00006891871,0.001661985,0.00000800274,0.00002834713,0.000004255294,0.00006417615,0.00002936521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002385225,"about_ca_system_score_gemma":0.000002333244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001615077,"about_ca_topic_score_gemma":0.000008766748,"domain_scores_codex":[0.9996409,0.00001190739,0.00009589842,0.00006479236,0.00009822557,0.00008830928],"domain_scores_gemma":[0.9996504,0.0001842416,0.00001744609,0.0001237982,0.00001152038,0.00001259209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001807737,0.000003887442,0.0002119461,0.00000803533,0.0001063465,8.846474e-7,0.00001236986,0.9338247,0.06124318,0.0001144734,0.0001365595,0.0043358],"study_design_scores_gemma":[0.00003421177,0.00001078525,0.02053205,0.000006969191,0.000126573,2.395043e-7,0.00001984216,0.9455399,0.03350854,0.00002534843,0.0001537324,0.00004178903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460852,0.000004579648,0.0508983,0.00006122428,0.0001769954,0.00004387937,0.000001748934,0.0009034554,0.00182459],"genre_scores_gemma":[0.9997994,0.000005067219,0.00009728126,0.00001696288,0.00001540813,0.000006409666,0.000003233596,0.000008896568,0.00004733393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05371418,"threshold_uncertainty_score":0.1443489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106816253906914,"score_gpt":0.2409082995408412,"score_spread":0.2302266741501498,"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."}}