{"id":"W4398289246","doi":"10.7910/dvn/njx5bv","title":"(Non-) Involvement in Terrorist Violence Dataset (NITV)","year":2022,"lang":"en","type":"dataset","venue":"Leiden Repository (Leiden University)","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Public Safety Canada","keywords":"Terrorism; Criminology; Medical emergency; Computer security; Psychology; Computer science; Geography; Medicine; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009326249,0.0006699828,0.0008181456,0.001166251,0.001480192,0.0002737125,0.003887795,0.0006598427,0.004246736],"category_scores_gemma":[0.0001245995,0.0008351969,0.0002791429,0.001286453,0.0007879571,0.0008780748,0.001358938,0.001658791,0.0002073164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002458437,"about_ca_system_score_gemma":0.001542691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1778359,"about_ca_topic_score_gemma":0.03502543,"domain_scores_codex":[0.993871,0.001083748,0.0007706755,0.001407904,0.001564816,0.001301815],"domain_scores_gemma":[0.9967576,0.0003168453,0.0005743529,0.001592096,0.0001534493,0.0006056344],"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":[0.00008500957,0.0002806457,0.004084076,0.0001403777,0.00007435088,0.003860552,0.002812332,0.00001009566,0.00001126759,0.00004815272,0.9884226,0.0001705422],"study_design_scores_gemma":[0.0005386085,0.0001514847,0.001738436,0.0004861777,0.0001887479,0.0000140498,0.04722484,0.000004822941,0.00001518186,0.0000636438,0.9486884,0.0008855561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02303741,0.0002621718,0.00001421665,0.0003783527,0.00390412,0.001093624,0.9692729,0.0001406984,0.00189658],"genre_scores_gemma":[0.05574232,0.001572645,0.00001051661,0.0007915363,0.001178199,0.00004044197,0.9341285,0.0000592853,0.006476541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1428104,"threshold_uncertainty_score":0.9998198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616567812321864,"score_gpt":0.2674003783692495,"score_spread":0.2512347002460308,"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."}}