{"id":"W2901125263","doi":"10.21810/jicw.v1i2.643","title":"The Chemnitz Raid","year":2018,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"European history and politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RAID; Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001760205,0.0009133897,0.0005691739,0.001190724,0.003549769,0.005573814,0.0008031317,0.00360669,0.09806889],"category_scores_gemma":[0.00317866,0.0004140599,0.0003410119,0.0005800638,0.002163579,0.00261465,0.005081756,0.003757666,0.03675728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003278399,"about_ca_system_score_gemma":0.003267805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004529018,"about_ca_topic_score_gemma":0.006122415,"domain_scores_codex":[0.9983365,0.0003295633,0.00006301582,0.0003639625,0.0005865699,0.0003204712],"domain_scores_gemma":[0.9990866,0.0001326148,0.00006656048,0.0001385584,0.0002444772,0.0003310968],"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":[0.00009866024,0.0000339808,0.0003596295,0.000155367,0.00001150116,0.0002359549,0.0003510399,0.0002568878,0.0006346185,0.158188,0.7472402,0.09243422],"study_design_scores_gemma":[0.000004615671,0.000007319378,0.0001374517,0.00005621725,0.000001147351,0.00004671636,0.00006417902,0.00003869662,0.0001453946,0.002936563,0.9965579,0.000003862604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005833181,0.06046781,0.002835823,0.1327246,0.06492143,0.0001058411,0.0008039573,0.0004663339,0.731841],"genre_scores_gemma":[0.03002543,0.006363127,0.0006571447,0.005857478,0.002934857,0.00003424147,0.0001879309,0.0002107594,0.9537291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09806889,"threshold_uncertainty_score":0.3280731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05867501736154583,"score_gpt":0.3374849960451461,"score_spread":0.2788099786836003,"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."}}