{"id":"W1995491561","doi":"10.5589/m08-063","title":"Apport de la classification spectrale des compositions colorées des indices pour la cartographie des sols salins dans un milieu aride du Sud tunisien","year":2008,"lang":"fr","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Cartography; Remote sensing; Vegetation Index; Multispectral pattern recognition; Vegetation (pathology); Forestry; Multispectral image; Mathematics; Geology; Normalized Difference Vegetation Index","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001591869,0.0008765996,0.0003191141,0.002083361,0.0004357932,0.0009488518,0.0002798626,0.000451574,0.001239177],"category_scores_gemma":[0.002315026,0.0002103391,0.0005352974,0.0006539493,0.0003766562,0.0004240165,0.0002439235,0.0003991075,0.0003865105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005757463,"about_ca_system_score_gemma":0.00072009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05169474,"about_ca_topic_score_gemma":0.0368343,"domain_scores_codex":[0.9994956,0.0001932138,0.0000154369,0.0000902436,0.0001563021,0.00004912147],"domain_scores_gemma":[0.9992053,0.0004772151,0.00004309084,0.00003098364,0.0001986327,0.00004469352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001434501,0.0003481806,0.1365867,0.0003359616,0.0003962632,0.0003094916,0.001744224,0.04864171,0.2504457,0.001005,0.001024241,0.5577281],"study_design_scores_gemma":[0.0002659312,0.0007249767,0.5190104,0.00007764631,0.0002395841,0.0006482688,0.001372146,0.3853669,0.08047094,0.0006174953,0.01109778,0.0001078578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9191076,0.0007137324,0.07724114,0.00009842375,0.00002716803,0.00007440071,0.0003019722,0.0003146258,0.002120997],"genre_scores_gemma":[0.8879471,0.0006465563,0.1075671,0.00003084359,0.00004347222,0.00007869715,0.0004559066,0.00006907415,0.003161046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05169474,"threshold_uncertainty_score":0.1027877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187299362012267,"score_gpt":0.2271989353971026,"score_spread":0.2053259417769799,"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."}}