{"id":"W4398838742","doi":"10.7910/dvn/qi2t9a/jqrrwn","title":"20181226-icews-events.zip","year":2019,"lang":"ru","type":"dataset","venue":"Harvard Dataverse","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Environmental science","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":[0.001122269,0.00211329,0.001393078,0.00400016,0.0008170852,0.00317517,0.002586265,0.00150681,0.2648028],"category_scores_gemma":[0.005928183,0.001087323,0.0009372223,0.008069068,0.0004817487,0.002308739,0.002424394,0.001328592,0.290674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518063,"about_ca_system_score_gemma":0.001611923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695747,"about_ca_topic_score_gemma":0.02129249,"domain_scores_codex":[0.9991518,0.00008988185,0.0001059855,0.0002683811,0.0001717321,0.0002121483],"domain_scores_gemma":[0.9973028,0.0006600867,0.0002522585,0.0008423352,0.0005087747,0.0004337389],"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":[0.0000530654,0.000009240143,0.0002803326,0.0001714917,0.000008229523,0.000007968807,0.00001200173,0.00009646162,0.0000518144,0.0003844368,0.9977673,0.001157659],"study_design_scores_gemma":[0.0002488248,0.00001153435,0.002138898,0.00009902912,0.00001024727,0.00001719469,0.00004093,0.0003546505,0.0003250268,0.00100093,0.995733,0.0000197313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000537106,0.00001058786,0.00003797351,0.00003430947,0.00001532891,0.000007441055,0.9980912,0.0006847168,0.001064707],"genre_scores_gemma":[0.0002882325,0.00001977941,0.0001145882,0.000033084,0.000009486629,0.00003879315,0.9983277,0.0003635413,0.0008047855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7351972,"threshold_uncertainty_score":0.8858538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285659117889746,"score_gpt":0.2249058192094021,"score_spread":0.2020492280305046,"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."}}