{"id":"W2757035646","doi":"10.3390/geosciences7040094","title":"Using Open Access Satellite Data Alongside Ground Based Remote Sensing: An Assessment, with Case Studies from Egypt’s Delta","year":2017,"lang":"en","type":"article","venue":"Geosciences","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Geographic Society; National Science Foundation","keywords":"Delta; Remote sensing; Nile delta; Threatened species; Satellite; Urbanization; Geography; Groundwater; Environmental science; Earth science; Geology; Water resource management; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002005124,0.0001749999,0.00024317,0.00007884401,0.003266423,0.00300541,0.003638207,0.0000524334,0.0002724236],"category_scores_gemma":[0.0006060499,0.000108643,0.00001865021,0.0002190139,0.001378974,0.00590385,0.001100009,0.0002183023,0.00001112649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001117724,"about_ca_system_score_gemma":0.0003625761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4282566,"about_ca_topic_score_gemma":0.4138271,"domain_scores_codex":[0.9975402,0.0003214203,0.0001925318,0.0008520311,0.0005664089,0.0005274352],"domain_scores_gemma":[0.9977504,0.0003812675,0.0002383748,0.001218282,0.0001130186,0.0002986841],"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":[0.0001493339,0.00000852737,0.1604553,0.00001162006,0.00002932508,0.003009793,0.0001585376,0.0005129884,0.00003364365,0.000008095805,0.00002404293,0.8355988],"study_design_scores_gemma":[0.0003931831,0.0004951842,0.4940729,0.00006527513,0.00002861347,0.0004581777,0.00105624,0.4899264,0.00008264348,0.01174783,0.001350782,0.0003228495],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667906,0.0004076667,0.02961073,0.0007302941,0.000261566,0.0004598761,0.0003215767,0.00003546142,0.001382223],"genre_scores_gemma":[0.8631406,0.0001494977,0.1361963,0.0002014655,0.0001091087,2.499053e-7,0.0001568578,0.00000288005,0.00004300718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8352759,"threshold_uncertainty_score":0.9980312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5194671361475154,"score_gpt":0.514334070612042,"score_spread":0.005133065535473436,"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."}}