{"id":"W4400613682","doi":"10.1016/j.rse.2024.114290","title":"Deep learning for urban land use category classification: A review and experimental assessment","year":2024,"lang":"en","type":"review","venue":"Remote Sensing of Environment","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Remote sensing; Land use; Computer science; Environmental science; Artificial intelligence; Geography","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":[0.001510434,0.001039072,0.0009824754,0.002638929,0.0002695856,0.001181184,0.001230709,0.0008162101,0.002465553],"category_scores_gemma":[0.002991651,0.0003954223,0.0009719742,0.004185593,0.000467537,0.001839411,0.0006941384,0.001112988,0.001129412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007140164,"about_ca_system_score_gemma":0.00173982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004453502,"about_ca_topic_score_gemma":0.004681895,"domain_scores_codex":[0.9996692,0.00007049479,0.00004541652,0.00009011521,0.0001006874,0.00002406022],"domain_scores_gemma":[0.9987853,0.000732367,0.00007678069,0.00004394665,0.0003279144,0.00003365312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000431017,0.00007799739,0.001006208,0.01135392,0.0001668707,0.00004197111,0.00006468054,0.002332574,0.0005714928,0.004855591,0.01255458,0.9669311],"study_design_scores_gemma":[0.00003446221,0.0004584435,0.006069534,0.01614508,0.001215306,0.0007638481,0.0003646114,0.01341447,0.00402535,0.01262245,0.9447652,0.0001212635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001612597,0.9866992,0.006791334,0.0007252374,0.0002672872,0.0000341077,0.0001464807,0.0000550184,0.003668816],"genre_scores_gemma":[0.009522565,0.9844259,0.004244263,0.0003306496,0.0001768509,0.00003370841,0.0002452046,0.00001358666,0.001007333],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004453502,"threshold_uncertainty_score":0.008855164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05394558127974756,"score_gpt":0.3101542184369268,"score_spread":0.2562086371571792,"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."}}