{"id":"W4398612917","doi":"10.7910/dvn/28118/oxjf12","title":"ICEWS Events and Aggregations.pdf","year":2015,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007943348,0.001602603,0.0008648451,0.005044912,0.000645685,0.003358176,0.001551153,0.001053343,0.09988273],"category_scores_gemma":[0.004442323,0.000768372,0.001011394,0.008068068,0.0004172173,0.002616195,0.00270962,0.001643163,0.1389498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500227,"about_ca_system_score_gemma":0.001873834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02697451,"about_ca_topic_score_gemma":0.04658482,"domain_scores_codex":[0.9991367,0.00009411187,0.0001215842,0.000221361,0.0002453696,0.0001808637],"domain_scores_gemma":[0.9980875,0.0003327062,0.0002597829,0.0006632539,0.0004356989,0.0002210851],"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":[0.00002682588,0.000008394246,0.0009118866,0.0001663514,0.000008763174,0.00001267351,0.00002764611,0.0001262668,0.00003556251,0.0007318329,0.9960734,0.0018704],"study_design_scores_gemma":[0.00005071266,0.00000455665,0.003809303,0.0001182732,0.000006713509,0.00003236705,0.0001157558,0.0003240966,0.0001983268,0.00113744,0.9941878,0.00001447605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001111832,0.00002674613,0.00005329147,0.00004896269,0.00002364955,0.000006871471,0.9979954,0.0005246238,0.001209314],"genre_scores_gemma":[0.0003717925,0.00004378239,0.0001935433,0.00002617564,0.00000834691,0.0000255492,0.9984113,0.0001080675,0.0008114405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9001173,"threshold_uncertainty_score":0.334141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273790913365532,"score_gpt":0.223395672394861,"score_spread":0.2006577632612057,"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."}}