{"id":"W7033570185","doi":"","title":"Security promotion in fragile states: can local meet national?","year":2009,"lang":"en","type":"report","venue":"Data Archiving and Networked Services (DANS)","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Collaborative Innovation Center of Advanced Microstructures; Foreign Affairs and International Trade Canada; African Union; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Department for International Development; European Commission","keywords":"Promotion (chess); Government (linguistics); Payment; Key (lock)","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":[0.004436938,0.000411693,0.0004159287,0.001136435,0.006670799,0.00809409,0.001247199,0.00276484,0.0268307],"category_scores_gemma":[0.007766296,0.000282774,0.0004482724,0.001438153,0.007501022,0.01046016,0.01048879,0.003674258,0.002160909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004557316,"about_ca_system_score_gemma":0.008212594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216055,"about_ca_topic_score_gemma":0.02946936,"domain_scores_codex":[0.9976623,0.001234947,0.00004338917,0.0001402447,0.0001668238,0.0007522397],"domain_scores_gemma":[0.9962772,0.001178028,0.0003410015,0.0002769297,0.0004147951,0.001512061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002341877,0.0005745164,0.01959747,0.00261933,0.00004704533,0.0008844,0.09751891,0.0009472115,0.0008565924,0.3653045,0.0726746,0.4387412],"study_design_scores_gemma":[0.00003546273,0.0004965892,0.02498964,0.005811494,0.00008615755,0.0005897378,0.2323859,0.0006200747,0.0007459028,0.06320026,0.6709664,0.00007250483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1766568,0.02728794,0.006397614,0.2804334,0.002691883,0.0001762363,0.0002215636,0.0003048789,0.5058298],"genre_scores_gemma":[0.9466106,0.01427005,0.002611359,0.009873041,0.0004660095,0.0002087189,0.0001506455,0.00007476716,0.02573474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0268307,"threshold_uncertainty_score":0.08975762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02078303847746116,"score_gpt":0.2559601190798586,"score_spread":0.2351770806023974,"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."}}