{"id":"W1672459893","doi":"10.13039/501100003339","title":"Satellite images and teaching of Geography","year":2015,"lang":"en","type":"article","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Geography and Education Methods","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Faculty of Science, Silpakorn University; European Social Fund; Royal Society; Consejo Superior de Investigaciones Científicas; Office of Science; European Regional Development Fund; Universitat de Barcelona; Valio; Junta de Andalucía; Gobierno de Aragón; FP7 Food, Agriculture and Fisheries, Biotechnology; Ministerio de Economía y Competitividad; Natural Sciences and Engineering Research Council of Canada; Fundación Endesa; Generalitat de Catalunya; Universidade Federal de Santa Catarina; Universidade de Vigo; Universidad de Granada; Instituto de Salud Carlos III; Xunta de Galicia; Inner Mongolia University; Ministero dell’Istruzione, dell’Università e della Ricerca; Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto de Física de Cantabria; University of Tabriz; Universidad Nacional de Colombia; CYTED Ciencia y Tecnología para el Desarrollo; Royal Society of Chemistry; Eusko Jaurlaritza; European Commission; Universitat Jaume I; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria; U.S. Department of Energy; Partnership for Research and Innovation in the Mediterranean Area; Universidad Complutense de Madrid; Russian Foundation for Basic Research; Umeå Universitet; Ministerio de Ciencia e Innovación; Comunidad de Madrid; Centro para el Desarrollo Tecnológico Industrial; Great Lakes Bioenergy Research Center; European Association of National Metrology Institutes; Banco Santander; Regione Calabria; Arab Fund for Economic and Social Development; Silpakorn University; Canadian Institute of Steel Construction","keywords":"Thematic map; Satellite; Resource (disambiguation); Scale (ratio); The Internet; Geography; Satellite imagery; Remote sensing; Computer science; Data science; Order (exchange); Cartography; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006362934,0.0001741543,0.0001390923,0.000796914,0.0009122055,0.00314541,0.0001787077,0.0005100872,0.02886198],"category_scores_gemma":[0.002880793,0.00009528698,0.0001074572,0.001085362,0.003188191,0.001248358,0.00125799,0.0006874553,0.001615314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673005,"about_ca_system_score_gemma":0.001019045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007235284,"about_ca_topic_score_gemma":0.01275806,"domain_scores_codex":[0.9995077,0.0003641956,0.00001168892,0.00002639203,0.00005849116,0.00003154338],"domain_scores_gemma":[0.9989672,0.0006459643,0.00008925617,0.00006621471,0.0001087479,0.000122634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005204583,0.00007963365,0.005831094,0.0002947593,0.00001335422,0.0002029638,0.02897587,0.0009631904,0.0005777832,0.6262749,0.1174487,0.2192856],"study_design_scores_gemma":[0.00001910818,0.00005833569,0.0150844,0.0005507249,0.00001200048,0.0001738658,0.02843585,0.0005975543,0.0004337363,0.1121586,0.8424642,0.00001155974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06160033,0.02640237,0.002210083,0.04474436,0.001097987,0.00001946945,0.000174145,0.00006200781,0.8636893],"genre_scores_gemma":[0.8544148,0.01916744,0.001471936,0.0009393073,0.0006861919,0.00001709608,0.0001062637,0.00005248212,0.1231444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02886198,"threshold_uncertainty_score":0.09655291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3441091081441069,"score_gpt":0.4602748276737368,"score_spread":0.1161657195296298,"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."}}