{"id":"W4398887711","doi":"10.7910/dvn/qhaapp","title":"Replication Data for: Comparative Cybersecurity in the Americas","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Computer security; Computer science; Biology; Virology","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":[0.002770823,0.0010905,0.0009427337,0.005000016,0.001207051,0.002426411,0.002136671,0.001434573,0.1581627],"category_scores_gemma":[0.02098861,0.0006152704,0.0009928184,0.009353106,0.0005334556,0.001341357,0.002501741,0.001857704,0.05192047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826057,"about_ca_system_score_gemma":0.004663392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05907921,"about_ca_topic_score_gemma":0.06966277,"domain_scores_codex":[0.9982253,0.0003555717,0.0003002658,0.00037163,0.0004385418,0.0003088288],"domain_scores_gemma":[0.9894068,0.003204096,0.0009236912,0.002052423,0.003746975,0.0006661511],"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":[0.0001338818,0.00005482688,0.004198659,0.001177554,0.00004997084,0.00004119307,0.0001859176,0.0001775935,0.0001283122,0.001122723,0.9874292,0.005300293],"study_design_scores_gemma":[0.0006749981,0.00004024086,0.03219714,0.0008203656,0.00005386352,0.00006661363,0.0009367989,0.0003052508,0.0002892924,0.001315677,0.963259,0.00004068338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005565444,0.00003953454,0.00006474238,0.0001097905,0.00003948884,0.00005893445,0.997329,0.0001200893,0.001681738],"genre_scores_gemma":[0.003096011,0.00009542448,0.0007250393,0.00009018664,0.00002033593,0.001120995,0.9921708,0.0001056618,0.002575647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1581627,"threshold_uncertainty_score":0.529107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1288631201359521,"score_gpt":0.3994638995524505,"score_spread":0.2706007794164984,"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."}}