{"id":"W4390674747","doi":"10.1016/j.heliyon.2024.e24101","title":"Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"King Saud University","keywords":"Arid; Phenology; Remote sensing; Series (stratigraphy); Time series; Environmental science; Climatology; Physical geography; Hydrology (agriculture); Geography; Geology; Mathematics; Statistics; Ecology","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":[0.0004504034,0.0003370929,0.0002664182,0.000992762,0.000653246,0.0005265563,0.0004298767,0.0003928725,0.0003291995],"category_scores_gemma":[0.0008841821,0.0001087637,0.0003007459,0.001253618,0.0004212348,0.0002555219,0.0003866098,0.0001552259,0.00005861949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315876,"about_ca_system_score_gemma":0.000542545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07465765,"about_ca_topic_score_gemma":0.1198699,"domain_scores_codex":[0.9997544,0.00009233904,0.00001576437,0.00004454697,0.00003869407,0.00005423701],"domain_scores_gemma":[0.9995142,0.0002231525,0.00009052067,0.00003616191,0.00008188802,0.00005400939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003737094,0.0006528008,0.873877,0.0003510785,0.0002433204,0.02973367,0.007945471,0.02128019,0.01771687,0.0007863924,0.0005779007,0.04646156],"study_design_scores_gemma":[0.00002777556,0.000260429,0.9471785,0.0000444097,0.00009047077,0.001572931,0.01244432,0.03414558,0.002595608,0.0002386403,0.001358951,0.00004248018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994484,0.00004730767,0.0001893769,0.00002366668,9.840178e-7,0.00001062238,0.00008080112,0.000003275239,0.0001956179],"genre_scores_gemma":[0.9990883,0.00005079019,0.0006663119,0.000006121347,0.000001915573,0.000008385909,0.00008058488,0.000001263692,0.00009639093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07465765,"threshold_uncertainty_score":0.1484462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04452916368657765,"score_gpt":0.2601862372280971,"score_spread":0.2156570735415194,"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."}}