{"id":"W2940754224","doi":"","title":"Research guides: UN & Intergovernmental organizations (IGOs): Statistics","year":2012,"lang":"en","type":"libguides","venue":"","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Regional science; Geography; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005286765,0.001600825,0.001201544,0.01209379,0.001168048,0.003790386,0.001958046,0.001021006,0.2108455],"category_scores_gemma":[0.0283008,0.001692116,0.0007469001,0.02562626,0.000758296,0.003759314,0.001261988,0.002788035,0.1916829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004415671,"about_ca_system_score_gemma":0.01453858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08072487,"about_ca_topic_score_gemma":0.0837804,"domain_scores_codex":[0.9947222,0.0009871651,0.0008539658,0.00036289,0.002800149,0.0002734968],"domain_scores_gemma":[0.9633434,0.009643967,0.002503351,0.002690187,0.02090599,0.000912991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001368081,0.00001639956,0.0002016328,0.0001506322,0.000001560444,0.000005204044,0.0000328605,0.0001134523,0.00005027817,0.001447205,0.9786555,0.01931161],"study_design_scores_gemma":[0.00001362221,0.00001708829,0.002748493,0.0003759547,0.000004356245,0.000028792,0.0001773227,0.0002609141,0.0002733882,0.002070373,0.9940049,0.00002489338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008540947,0.002099526,0.007895432,0.003910532,0.001290249,0.001003418,0.8180331,0.006875825,0.1580378],"genre_scores_gemma":[0.004443349,0.006941759,0.02656509,0.001594284,0.0006375918,0.002932437,0.6275043,0.005539211,0.3238419],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2108455,"threshold_uncertainty_score":0.7053486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052001500740999,"score_gpt":0.2959563286466631,"score_spread":0.2654363136392531,"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."}}