{"id":"W4398380195","doi":"10.7910/dvn/28117","title":"ICEWS Event Aggregations","year":2015,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Event (particle physics); Geography; Computer science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003892629,0.0003238913,0.000329697,0.0002339191,0.00004746886,0.00008302725,0.0005074166,0.0002917146,0.005873808],"category_scores_gemma":[0.0003745897,0.0003408443,0.000102721,0.0002165892,0.00002374473,0.0002034327,0.0001160506,0.0004430209,0.05729146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585742,"about_ca_system_score_gemma":0.00008048431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005249154,"about_ca_topic_score_gemma":0.00004523222,"domain_scores_codex":[0.9986706,0.00006139878,0.0003544682,0.0002527232,0.0003670533,0.0002937295],"domain_scores_gemma":[0.9982486,0.0001136381,0.00005749701,0.001273574,0.00007791827,0.0002287074],"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":[0.000001862491,0.000008025212,4.065022e-7,0.0001132614,0.00004063499,0.00001398269,0.000007569561,0.3685174,0.000004917958,0.000003127665,0.631179,0.000109813],"study_design_scores_gemma":[0.0003079709,0.00001152864,0.00000432793,0.00007986904,0.00006361601,0.000006539966,0.000008913467,0.03201017,0.00002050816,0.00002865809,0.96711,0.0003478867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003031484,0.00001233492,0.005809297,0.000001600143,0.001587641,0.0001741687,0.9915897,0.0003485313,0.0004464363],"genre_scores_gemma":[0.00001232131,0.0004817963,0.00458309,0.00002185416,0.0003884414,0.00003496161,0.9940206,0.00004850222,0.0004083747],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3365072,"threshold_uncertainty_score":0.9999043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629158793703797,"score_gpt":0.2814014639151243,"score_spread":0.2551098759780864,"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."}}