{"id":"W2181741054","doi":"10.1080/13533312.2015.1094193","title":"Making Maps to Make Peace: Geospatial Technology as a Tool for UN Peacekeeping","year":2015,"lang":"en","type":"article","venue":"International Peacekeeping","topic":"Peacebuilding and International Security","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Peacekeeping; Geospatial analysis; Negotiation; Politics; Conflict resolution; Political science; State (computer science); Border Security; Computer security; Public administration; Law; Computer science; Remote sensing; Geography","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":[0.003855753,0.0007242103,0.0003411983,0.004909485,0.002142112,0.009471257,0.001235434,0.001486041,0.005900356],"category_scores_gemma":[0.007925514,0.0004031724,0.0005294245,0.007209655,0.006637923,0.01333202,0.003833252,0.001451907,0.0009445237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963798,"about_ca_system_score_gemma":0.002553089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006671961,"about_ca_topic_score_gemma":0.007351847,"domain_scores_codex":[0.997304,0.001733537,0.00008893735,0.0001451223,0.0005452314,0.0001832521],"domain_scores_gemma":[0.9967322,0.002138801,0.0003051987,0.0004131249,0.0002709662,0.0001397156],"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":[0.00002033244,0.00004048102,0.003754717,0.0002590443,0.00003388198,0.0001952922,0.005202841,0.008699515,0.00056701,0.8286673,0.01049386,0.1420656],"study_design_scores_gemma":[0.000008831944,0.00004483332,0.003913256,0.001010924,0.00004308434,0.000398298,0.02343275,0.01659371,0.001981014,0.5290285,0.4234636,0.0000811171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04769952,0.01854784,0.4997492,0.06618648,0.001225061,0.0002642758,0.0009844826,0.001317021,0.3640262],"genre_scores_gemma":[0.6585236,0.02403046,0.3007742,0.001577866,0.0006397605,0.000244603,0.0005922191,0.0002697702,0.01334748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009471257,"threshold_uncertainty_score":0.0203914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06157107514568404,"score_gpt":0.3905041584787288,"score_spread":0.3289330833330448,"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."}}