{"id":"W4377832619","doi":"10.18280/ts.400226","title":"Exploiting JECAM Database for Agriculture Land Cover Classification of Antsirabe Site Using Sentinel 2 Imagery with Deep Learning","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land cover; Cover (algebra); Agriculture; Remote sensing; Environmental science; Computer science; Geography; Artificial intelligence; Land use; Archaeology; Engineering; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003291275,0.0001167982,0.0001485131,0.00007818134,0.000195522,0.00005642184,0.00005931934,0.00003549217,0.0001368589],"category_scores_gemma":[0.00002272881,0.00007884411,0.00004633701,0.0002598605,0.00003154096,0.0002012573,0.000005876264,0.00009064086,0.00002457626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003376224,"about_ca_system_score_gemma":0.00001865828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002215643,"about_ca_topic_score_gemma":0.0001342143,"domain_scores_codex":[0.9990477,0.00005404012,0.0002059044,0.0002163514,0.0002328146,0.0002431927],"domain_scores_gemma":[0.9994976,0.0001504116,0.0001465822,0.00007861971,0.00006583428,0.00006098658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002789263,0.00004123602,0.7253481,0.0001981732,0.00007006355,0.00003022121,0.0009283029,0.1505388,0.09850848,0.000007960137,0.0006535964,0.02339621],"study_design_scores_gemma":[0.000724122,0.00008944902,0.310971,0.0000979653,0.0000536297,0.00001248876,0.0005046411,0.6849704,0.001292803,0.000006130599,0.001112491,0.0001649794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944988,0.00004982991,0.004658828,0.00004674858,0.00004900465,0.0001693941,0.00008426088,0.00006340457,0.00037966],"genre_scores_gemma":[0.9967608,0.00002374663,0.001431657,0.00003723278,0.000173491,4.462171e-7,0.001450925,0.000005907516,0.0001157801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5344316,"threshold_uncertainty_score":0.321517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03655212609972683,"score_gpt":0.2347294504848208,"score_spread":0.198177324385094,"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."}}