{"id":"W2661950676","doi":"10.5555/arwg.16.1.50w211063h64n561","title":"Cartographies of Nation Building: Creating and Contesting the Egyptian Geo-body","year":2013,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legitimacy; Nation-building; Geopolitics; Independence (probability theory); National identity; State (computer science); Formative assessment; Variety (cybernetics); Identity (music); Sociology; Political science; Gender studies; Media studies; Law; Aesthetics; Politics","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":[0.003058283,0.0003901818,0.0002595608,0.004457844,0.009128665,0.01144231,0.0006577141,0.000983365,0.005038704],"category_scores_gemma":[0.003149909,0.0003037752,0.0001587508,0.005474989,0.02987551,0.007509935,0.005333111,0.001407426,0.0002941282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006840353,"about_ca_system_score_gemma":0.003394576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03876794,"about_ca_topic_score_gemma":0.07323883,"domain_scores_codex":[0.9984015,0.001088556,0.00004241931,0.00009953941,0.0001785199,0.0001894954],"domain_scores_gemma":[0.9978533,0.001363274,0.0001801715,0.0003002713,0.0002018533,0.0001009889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001808008,0.000003257191,0.001336799,0.00007207897,0.000005701299,0.0004878254,0.5790594,0.0001692247,0.0002649373,0.4029573,0.00261265,0.01301283],"study_design_scores_gemma":[0.000005565641,0.000008104403,0.003528991,0.0003553199,0.000017402,0.0003413645,0.660255,0.0004387008,0.0006835163,0.03797515,0.2963694,0.00002145431],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5360345,0.005327203,0.01043063,0.0109609,0.0002070907,0.00004585413,0.0002786677,0.000126773,0.4365884],"genre_scores_gemma":[0.9875608,0.001376697,0.001548192,0.0001518468,0.0000232914,0.0000126236,0.00004885293,0.0000677212,0.009209942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03876794,"threshold_uncertainty_score":0.07708454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887095081425939,"score_gpt":0.2675160541832981,"score_spread":0.2486451033690387,"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."}}