{"id":"W4318350450","doi":"","title":"ASSESSING SMALL SAMPLE WAR-GAMING DATASETS","year":2013,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Sample (material); Computer science; Chemistry; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.045495,0.0008982029,0.001107794,0.002880963,0.001050864,0.001706907,0.001959259,0.002361965,0.001638462],"category_scores_gemma":[0.1460743,0.0003906668,0.001157298,0.001794152,0.001963436,0.002677647,0.001924076,0.001494143,0.0003122733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433514,"about_ca_system_score_gemma":0.000958479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003247596,"about_ca_topic_score_gemma":0.003930449,"domain_scores_codex":[0.9824222,0.01261089,0.0008426767,0.001629973,0.002172531,0.0003218167],"domain_scores_gemma":[0.7137269,0.2534871,0.008114063,0.01680576,0.006516845,0.001349302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003771056,0.003189116,0.2193871,0.001129348,0.001960047,0.0008905996,0.0012191,0.5756072,0.005296523,0.02607147,0.02077503,0.1407034],"study_design_scores_gemma":[0.0004636736,0.002417124,0.08193485,0.0001523503,0.0002318151,0.0007839781,0.0009736781,0.8641614,0.01038845,0.02806292,0.01029213,0.000137673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9021652,0.0008578454,0.08690354,0.001115128,0.000201283,0.0008358392,0.004206243,0.0007608908,0.002953975],"genre_scores_gemma":[0.9397501,0.0001729023,0.05048704,0.0002973233,0.00008054252,0.0003832321,0.008136985,0.00008291905,0.0006089849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.045495,"threshold_uncertainty_score":0.2406034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2966652459049359,"score_gpt":0.5589651487123968,"score_spread":0.2622999028074609,"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."}}